Skocz do pozycji: 1.

Tytuł:

Hypothesis testing a nonorthogonal three-way cross classification using projection operators

Autorzy:

Mikos, Henryk

Powiązania:

https://bibliotekanauki.pl/articles/747487.pdf

Data publikacji:

1977

Wydawca:

Polskie Towarzystwo Matematyczne

Tematy:

Linear regression, Linear inference, regression

Opis:

Artykuł nie zawiera streszczenia
The article contains no abstract

Źródło:

Mathematica Applicanda; 1977, 5, 11
1730-2668
2299-4009

Pojawia się w:

Mathematica Applicanda

Dostawca treści:

Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:

Fixed-precision estimation of the parameters of a linear regression model

Autorzy:

Truszczyńska, Helena

Powiązania:

https://bibliotekanauki.pl/articles/748180.pdf

Data publikacji:

1983

Wydawca:

Polskie Towarzystwo Matematyczne

Tematy:

Linear regression

Opis:

Artykuł nie zawiera streszczenia
The article contains no abstract

Źródło:

Mathematica Applicanda; 1983, 11, 23
1730-2668
2299-4009

Pojawia się w:

Mathematica Applicanda

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 3.

Tytuł:

Estimability of linear parametric functions in a one-dimensional linear model

Autorzy:

Baksalary, J. K.
Kala, R.

Powiązania:

https://bibliotekanauki.pl/articles/747567.pdf

Data publikacji:

1978

Wydawca:

Polskie Towarzystwo Matematyczne

Tematy:

Linear regression

Opis:

Artykuł nie zawiera streszczenia
In the general linear model Ey=Xξ, the vector Cξ is estimable whenever there exists a matrix L such that ELy=Cξ. Several characterizations of estimability are presented. The haracterizations concern matrix and rank equalities based on X and XX′.  Moreover, usefulness of such characterizations is discussed from a computational point of view. For new results on this subject see a paper by I. S. Alalouf and G. P. H. Styan

Źródło:

Mathematica Applicanda; 1978, 6, 12
1730-2668
2299-4009

Pojawia się w:

Mathematica Applicanda

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 4.

Tytuł:

Estimability of linear parametric functions in a one-dimensional linear model with restrictions

Autorzy:

Baksalary, J. K.
Kala, R.

Powiązania:

https://bibliotekanauki.pl/articles/747611.pdf

Data publikacji:

1978

Wydawca:

Polskie Towarzystwo Matematyczne

Tematy:

Linear regression

Opis:

Artykuł nie zawiera streszczenia
The problem of estimability of the vector Cξ in the general linear model Ey=Xξ is discussed. It is assumed that the vector of parameters ξ is a linear manifold Ω given by Rξ=s, where the matrix R and the vector s are known. The vector Cξ is estimable if there exist matrices L and M such that ELy+Ms=Cξ for all ξ in Ω. Using the results of a paper by the authors [62046 above], necessary and sufficient conditions for estimability are presented with short and elegant proofs.

Źródło:

Mathematica Applicanda; 1978, 6, 12
1730-2668
2299-4009

Pojawia się w:

Mathematica Applicanda

Dostawca treści:

Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:

Uwzględnienie niepewności pomiaru obydwu wielkości w regresji liniowej
Taking into consideration uncertainties of the both results in linear regreesion

Autorzy:

Dorozhovets, M.

Powiązania:

https://bibliotekanauki.pl/articles/151624.pdf

Data publikacji:

2008

Wydawca:

Stowarzyszenie Inżynierów i Techników Mechaników Polskich

Tematy:

linear regression
uncertainty

Opis:

W referacie została zaproponowana i przeanalizowana metoda regresji liniowej, która uwzględnia wpływ niepewności wielkości wejściowej oraz wyjściowej na wartość współczynnika nachylenia prostej. Poprawną wartość współczynnika nachylenia uzyskuje się na drodze minimalizacji sumy kwadratów odchyleń poszukiwanej prostej od punktów eksperymentalnych w kierunku maksymalnego wpływu niepewności wyników pomiaru. Wyprowadzono wzór do obliczenia współczynnika nachylenia prostej jako funkcji parametrów wyników obserwacji oraz ich standardowych niepewności. Wykazano, że wszystkie inne liniowe regresje są przypadkami szczególnymi zaproponowanej metody regresji.
In the paper a new method of calculation of the linear regression is proposed and analyzed. This method takes directly into account the influence of uncertainties of both input and output quantities onto the regression line slope. The correct slope value is calculated under condition to minimization the sum of the squared deviations of desired line from the experimental points in the direction of maximum influence of uncertainties. The formula for the calculation of the regression line slope in function of the parameters of observation results and their standard uncertainties is given. It is shown that all other linear regressions are the particular cases of the regression proposed in this paper.

Źródło:

Pomiary Automatyka Kontrola; 2008, R. 54, nr 9, 9; 612-615
0032-4140

Pojawia się w:

Pomiary Automatyka Kontrola

Dostawca treści:

Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:

The two-dimensional linear relation in the errors-in-variables model with replication of one variable

Autorzy:

Czapkiewicz, Anna
Dawidowicz, Antoni

Powiązania:

https://bibliotekanauki.pl/articles/1208170.pdf

Data publikacji:

2000

Wydawca:

Polska Akademia Nauk. Instytut Matematyczny PAN

Tematy:

consistent estimator
linear regression

Opis:

We present a two-dimensional linear regression model where both variables are subject to error. We discuss a model where one variable of each pair of observables is repeated. We suggest two methods to construct consistent estimators: the maximum likelihood method and the method which applies variance components theory. We study asymptotic properties of these estimators. We prove that the asymptotic variances of the estimators of regression slopes for both methods are comparable.

Źródło:

Applicationes Mathematicae; 2000, 27, 3; 335-342
1233-7234

Pojawia się w:

Applicationes Mathematicae

Dostawca treści:

Biblioteka Nauki

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Skocz do pozycji: 7.

Tytuł:

Application of the regression function for the description of sorption process
Zastosowanie regresji do opisu procesu sorpcji

Autorzy:

Polańczyk, A.
Majder-Łopatka, M.
Jarosz, W.
Matuszkiewicz, R.

Powiązania:

https://bibliotekanauki.pl/articles/136635.pdf

Data publikacji:

2018

Wydawca:

Szkoła Główna Służby Pożarniczej

Tematy:

oil sorption
linear regression
non-linear regression
sorpcja oleju
liniowa regresja
nieliniowa regresja

Opis:

The number of environmentally dangerous substances which the Fire Department has to face with, is increasing annually. Therefore, the aim of this study was to prepare a mathematical description of the sorption process. The sorption process was performed in the laboratory scale. On the Petrie dish different sorbates with total amount of 100cm3 and exposed to different types of sorbents were analyzed. In this research the diesel oil and the petrol as well as sand and compact were analyzed. The time of sorption process and the changing weight of the sorbate were monitored. Next, the linear and non-linear regression was applied for the description of the sorption process. It was presented that linear approach is not suitable to describe the results of the sorption process for dry sand and compact in the contact with Gasoline and Oil. In the first step of the sorption process a dynamic and prompt increase of the sorbate amount is observed, while at the end of the process the increase is more stable. Therefore, the non-linear regression mimics more accurately the shape of the experimental results compared to the linear approach.
Liczba substancji niebezpiecznych dla środowiska, z którymi musi corocznie zmierzyć się straż pożarna rośnie. Z tego względu dokładne opisanie procesu sorpcji w warunkach laboratoryjnych pozwoli lepiej poznać właściwości sorbentów. Celem niniejszych badań było przygotowanie matematycznego opisu procesu sorpcji i ocena, który z modeli najlepiej opisuje dane uzyskane w laboratorium. Proces sorpcji przeprowadzony był w skali laboratoryjnej. Na szalce Petriego analizowano różne sorbaty o całkowitej objętości wynoszącej 100 cm3 i poddawano działaniu różnego typu sorbentów. W niniejszym badaniu analizowano olej napędowy i benzynę, a także suchy piasek i sorbent compact. Wśród analizowanych parametrów były czas procesu sorpcji i zmiana masy sorbatu. Co więcej, do opisu wyników procesu sorpcji zastosowano regresję liniową i nieliniową. Na podstawie otrzymanych wyników stwierdzono, iż regresja liniowa nie jest odpowiednia do opisu wyników procesu sorpcji dla suchego piasku i sorbentu compact w kontakcie z benzyną i olejem napędowym. Zarówno dla oleju napędowego jak i benzyny w kontakcie z suchym piaskiem i sorbentem compact w pierwszym etapie procesu sorpcji obserwowano dynamiczny i szybki wzrost objętości sorbatu, podczas gdy na końcu proces sorpcji stabilizował się. Z tego względu regresja nieliniowa odzwierciedlała dokładniej kształt wyników eksperymentalnych w porównaniu do regresji liniowej.

Źródło:

Zeszyty Naukowe SGSP / Szkoła Główna Służby Pożarniczej; 2018, 1, 66; 39-48
0239-5223

Pojawia się w:

Zeszyty Naukowe SGSP / Szkoła Główna Służby Pożarniczej

Dostawca treści:

Biblioteka Nauki

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Skocz do pozycji: 8.

Tytuł:

The estimation of parameters in a one-dimensional linear model with restrictions

Autorzy:

Kala, Radosław
Kłaczyński, Krzysztof

Powiązania:

https://bibliotekanauki.pl/articles/747623.pdf

Data publikacji:

1985

Wydawca:

Polskie Towarzystwo Matematyczne

Tematy:

Linear regression
Estimation and detection

Opis:

Artykuł nie zawiera streszczenia
The article contains no abstract

Źródło:

Mathematica Applicanda; 1985, 12, 24
1730-2668
2299-4009

Pojawia się w:

Mathematica Applicanda

Dostawca treści:

Biblioteka Nauki

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Skocz do pozycji: 9.

Tytuł:

Pseudo Bayesian and Linear Regresssion Global Thresholding

Autorzy:

Aboura, K.

Powiązania:

https://bibliotekanauki.pl/articles/226162.pdf

Data publikacji:

2010

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

classification
image thresholding
probability
linear regression

Opis:

Classification is an important task in image analysis. Simply recognizing an object in an image can be a daunting step for a computer algorithm. The methodologies are often simple but rely heavily on the thresholding of the image. The operation of turning a color or gray-scale image into a black and white image is a determining step in the effectiveness of a solution. Thresholding methods perform differently in various problems where they are often used locally. Global thresholding is a difficult task in most problems. We highlight a pseudo Bayesian and a linear regression global thresholding methods that performed well in an engineering problem. The same approaches can be used in biomedical applications where the environment is better controlled.

Źródło:

International Journal of Electronics and Telecommunications; 2010, 56, 1; 63-72
2300-1933

Pojawia się w:

International Journal of Electronics and Telecommunications

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 10.

Tytuł:

Estimation of linear parametric functions in multiresponse models

Autorzy:

Walkowiak, Ryszard

Powiązania:

https://bibliotekanauki.pl/articles/747810.pdf

Data publikacji:

1987

Wydawca:

Polskie Towarzystwo Matematyczne

Tematy:

Linear regression
Characterization and structure theory

Opis:

.
Consider an incomplete multiresponse experiment with a classification of the observations into u classes. The class Si contains ti treatments with ni observations. Thus, the experiment can be described by the set {Y1,Y2,...,Yu}, where Yi are ni×ti random matrices of observations from the class Si. For the expectation of each Yi a linear model with main and nuisance parameters is proposed. The problem of (linear) estimation of the main parameters is considered using results of R. Zmyślony [in Mathematical statistics and probability theory (Wisła, 1978), 365–373, Lecture Notes in Statist., 2, Springer, New York, 1980; MR0577292] and J. K. Baksalary [Math. Operationsforsch. Statist. Ser. Statist. 15 (1984), no. 1, 3–35; MR0729609].

Źródło:

Mathematica Applicanda; 1987, 15, 29
1730-2668
2299-4009

Pojawia się w:

Mathematica Applicanda

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 11.

Tytuł:

On estimation of parameter functions in a weakly singular linear model with linear inequality restrictions

Autorzy:

Kłaczyński, Krzysztof

Powiązania:

https://bibliotekanauki.pl/articles/748076.pdf

Data publikacji:

1994

Wydawca:

Polskie Towarzystwo Matematyczne

Tematy:

Linear regression
Applications of mathematical programming

Opis:

.
In this paper, the problem of ICGLS (Inequality Constrained Generalized Least Squares) estimation of a given set function K in the weakly singular model M={y, X| A > b, ^2V} is considered. The ICGLS estimator is not linear and it is expressed in a form of at most of 2^m formulae, where m denotes a number of rows in the matrix A. For a given vector y the one of these formulae can be used. On the basis of the Kuhn-Tucker optimality conditions, necessary and sufficient conditions for a vector Kβ^t to be the ICGLS estimator of Kβ are presented. The estimators are given in explicit form.

Źródło:

Mathematica Applicanda; 1994, 23, 37
1730-2668
2299-4009

Pojawia się w:

Mathematica Applicanda

Dostawca treści:

Biblioteka Nauki

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Skocz do pozycji: 12.

Tytuł:

A robust estimate of variance in a linear model

Autorzy:

Zieliński, Ryszard
Zieliński, Wojciech

Powiązania:

https://bibliotekanauki.pl/articles/748621.pdf

Data publikacji:

1985

Wydawca:

Polskie Towarzystwo Matematyczne

Tematy:

Robustness and adaptive procedures
Linear regression

Opis:

.
Standard statistical procedures for variance in Gaussian models are not robust against departures from normality. One of the possible reasons is that the variance of the variance estimate depens on kurtosis of the underlying distribution. In the paper, the most robust estimate of the variance in a class of quadratic forms is constructed.

Źródło:

Mathematica Applicanda; 1985, 13, 26
1730-2668
2299-4009

Pojawia się w:

Mathematica Applicanda

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 13.

Tytuł:

Best estimators in models with individually split experimental units

Autorzy:

Mikos, Henryk

Powiązania:

https://bibliotekanauki.pl/articles/748701.pdf

Data publikacji:

1982

Wydawca:

Polskie Towarzystwo Matematyczne

Tematy:

Factorial designs, Linear regression, Block designs

Opis:

.
The author deals with a classical split-plot design in which the effect of levels of factor A, i.e., the whole plot treatments, and the effect of levels of factor B, i.e., the split-plot treatments, on the values of some variable are investigated. He considers four different models: (i) a fixed model, i.e., the effects of both factors are fixed; (ii) two mixed models, i.e., the effects of A are random and the effects of B are fixed, or the effects of A are fixed and the effects of B are random; (iii) a random model, i.e., the effects of both factors are random. It is assumed also that block effects are always random. In all the above linear models, it is proved that, for the estimable functions of the fixed parameters, there exist uniformly best unbiased estimators. Moreover, uniformly best unbiased quadratic estimators of suitable variance components are given in the above linear models. MR0707815

Źródło:

Mathematica Applicanda; 1982, 10, 20
1730-2668
2299-4009

Pojawia się w:

Mathematica Applicanda

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 14.

Tytuł:

Parametric and non-parametric regression methods in identifying an impact of components of advertising on consumers behaviour

Autorzy:

Chudzian, Joanna
Chrzanowska, Mariola

Powiązania:

https://bibliotekanauki.pl/articles/425044.pdf

Data publikacji:

2014

Wydawca:

Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu

Tematy:

regression method
linear regression
regression tree
advertising
dairy market

Opis:

This paper concerns the application of parametric and non-parametric regression methods in explaining the impact of advertising on consumers on the dairy market. Two specific goals were stated in this research. The first goal was to evaluate the impact of advertising components on its effectiveness operationalized as the AIDA marketing model. The second goal attempted at clustering consumers with respect to the effectiveness of subsequent components of advertising. The former was achieved using the parametric regression model, for the latter the regression tree model was applied. Among the components of advertising, the TV medium and music – factors that strongly attract attention – affects the behaviour of consumers of dairy products the most. Other important revealed factors turn out to be varying in significance depending on the regression method applied.

Źródło:

Econometrics. Ekonometria. Advances in Applied Data Analytics; 2014, 3(45); 56-70
1507-3866

Pojawia się w:

Econometrics. Ekonometria. Advances in Applied Data Analytics

Dostawca treści:

Biblioteka Nauki

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Skocz do pozycji: 15.

Tytuł:

Application of the Nonhomogeneous Poisson Process for Counting Earthquakes

Autorzy:

Sumiati, Ira
Rahmani, Ulfa
Supian, Sudradjat
Subiyanto, Subiyanto

Powiązania:

https://bibliotekanauki.pl/articles/1062838.pdf

Data publikacji:

2019

Wydawca:

Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN

Tematy:

Nonhomogeneous Poisson processes
earthquakes
simple linear regression

Opis:

Nonhomogeneous Poisson processes are Poisson processes with parameters that depend on time and not constant from time to time, also mutually independent. In addition, the probability of no occurrence in the initial state is one and the probability of the n event in the initial state is zero. In this study, nonhomogeneous Poisson processes were applied to predict and count the number of earthquake events in Indonesia. Because earthquakes that occur in Indonesia from one month to the next do not affect each other and the numbers are not the same, by not paying attention to the geophysical cause of the earthquake. The data used in the study is the occurrence of earthquakes in Indonesia from January 2016 to July 2018, sourced from the Meteorology, Climatology and Geophysics Agency obtained online. The results were obtained that the odds of predicting dan counting the occurrence of earthquakes in Indonesia in the first week of December 2018 were around 184 times with a standard deviation of around 14 times.

Źródło:

World Scientific News; 2019, 127, 3; 163-176
2392-2192

Pojawia się w:

World Scientific News

Dostawca treści:

Biblioteka Nauki

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Skocz do pozycji: 16.

Tytuł:

EA-MOSGWA : a tool for identifying associated SNPs in Genome Wide Association Studies
EA-MOSGWÀ : narzędzie do identyfikacji przyczynowych SNPów w badaniach asocjacyjnych całego genomu

Autorzy:

Gola, A.
Bogdan, M.
Frommlet, F.

Powiązania:

https://bibliotekanauki.pl/articles/375689.pdf

Data publikacji:

2013

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

evolutionary algorithm
Genome Wide Association
linear regression

Opis:

This paper presents the current stage of the development of EA-MOSGWA - a tool for identifying causal genes in Genome Wide Association Studies (GWAS). The main goal of GWAS is to identify chromosomal regions which are associated with a particular disease (e.g. diabetes, cancer) or with some quantitative trait (e.g height or blood pressure). To this end hundreds of thousands of Single Nucleotide Polymorphisms (SNP) are genotyped. One is then interested to identify as many SNPs as possible which are associated with the trait in question, while at the same lime minimizing the number of false detections. The software package MOSGWA allows to detect SNPs via variable selection using the criterion mBIC2, a modified version of the Schwarz Bayesian Information Criterion. MOSGWA tries to minimize mBIC2 using some stepwise selection methods, whereas EA-MOSGWA applies some advanced evolutionary algorithms to achieve the same goal. We present results from an extensive simulation study where we compare the performance of EA-MOSGWA when using different parameter settings. We also consider using a clustering procedure to relax the multiple testing correction in mBlC2. Finally we compare results from EA-MOSGWA with the original stepwise search from MOSGWA, and show that the newly proposed algorithm has good properties in terms of minimizing the mBIC2 criterion, as well as in minimizing the misclassification rate of detected SNPs.
W artykule przedstawiony jest aktualny stan rozwoju programu EA-MOSGWA - narzędzia służącego do identyfikacji przyczynowych genów w badaniach asocjacyjnych całego genomu (ang. Genome Wide Association Studies, GWAS). Głównym celem tych badań jest określenie tych rejonów chromosomu, które są związane z występowaniem chorób genetycznych (np. cukrzyca, rak) lub wpływają na daną cechę (np. wysokość lub ciśnienie krwi). Sprowadzają się one do przebadania wielu tysięcy polimorfizmów pojedynczego nukleotydu (ang. Single Nucleotide Polymorphisme SNP) i powiązaniu ich (pojedynczych lub grupy SNPów) z przypadkami klinicznymi oraz możliwymi do zmierzenia cechami. Kluczową kwestią jest zidentyfikowanie jak największej liczby przyczynowych SNPów przy jednoczesnej minimalizacji fałszywych odkryć. Program MOSGWA umożliwia detekcje SNPów poprzez wybór zmiennych z użyciem kryterium mBIC2 - zmodyfikowanej wersji Bayesowskiego kryterium informacyjnego Schwarza. MOSGWA stara się zminimalizować mBIC2 przy pomocy metody selekcji Stepwise, podczas gdy EA-MOSGWA wykorzystuje w tym cclu zmodyfikowaną wersję algorytmu ewolucyjnego. W artykule prezentujemy wyniki szeroko zakrojonych badań symulacyjnych, w których możemy porównać wydajność EA-MOSGWA przy użyciu różnych ustawień parametrów. Również bierzemy pod uwagę klasteryzację SNPów, aby złagodzić korekcje wielokrotnego testowania w metodzie mBIC2. Przedstawiamy także porównanie wyników otrzymanych przez EA-MOSGWA z wynikami metody Stepsiwe używanej w programie MOSGWA, aby pokazać że proponowana metoda ma dobre właściwości minimalizacji kryterium mBIC2 oraz minimalizacji wskaźnika fałszywych detekcji.

Źródło:

Theoretical and Applied Informatics; 2013, 25, 3-4; 251-262
1896-5334

Pojawia się w:

Theoretical and Applied Informatics

Dostawca treści:

Biblioteka Nauki

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Skocz do pozycji: 17.

Tytuł:

Multiple Linear Regression Using Cholesky Decomposition

Autorzy:

Sumiati, Ira
Handoyo, Fiyan
Purwani, Sri

Powiązania:

https://bibliotekanauki.pl/articles/1031897.pdf

Data publikacji:

2020

Wydawca:

Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN

Tematy:

Cholesky decomposition
Multiple linear regression
covariance matrix

Opis:

Various real-world problem areas, such as engineering, physics, chemistry, biology, economics, social, and other problems can be modeled with mathematics to be more easily studied and done calculations. One mathematical model that is very well known and is often used to solve various problem areas in the real world is multiple linear regression. One of the stages of working on multiple linear regression models is the preparation of normal equations which is a system of linear equations using the least-squares method. If more independent variables are used, the more linear equations are obtained. So that other mathematical tools that can be used to simplify and help to solve the system of linear equations are matrices. Based on the properties and operations of the matrix, the linear equation system produces a symmetric covariance matrix. If the covariance matrix is also positive definite, then the Cholesky decomposition method can be used to solve the system of linear equations obtained through the least-squares method in multiple linear regression. Based on the background of the problem outlined, such that this paper aims to construct a multiple linear regression model using Cholesky decomposition. Then, the application is used in the numerical simulation and real case.

Źródło:

World Scientific News; 2020, 140; 12-25
2392-2192

Pojawia się w:

World Scientific News

Dostawca treści:

Biblioteka Nauki

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Skocz do pozycji: 18.

Tytuł:

Reliability test of a GNSS onboard receiver in the kinematic mode

Autorzy:

Ćwiklak, Janusz
Krasuski, Kamil
Grzegorzewski, Marek

Powiązania:

https://bibliotekanauki.pl/articles/320769.pdf

Data publikacji:

2019

Wydawca:

Polskie Forum Nawigacyjne

Tematy:

GPS
EGNOS
RMS
air navigation
linear regression

Opis:

The article presents the results of the aircraft Cessna 172 positioning based on navigation solutions in the GPS and EGNOS (SBAS) tracking mode. The article makes a comparison of coordinate readings of the Cessna 172 in the ellipsoidal BLh frame. The verification of the coordinates of the aircraft Cessna 172 was used to assess the reliability of the GNSS satellite technique in aviation. In a research test, the navigation data were recorded by the onboard receiver Thales Mobile Mapper during an air test performed over the military aerodrome EPDE in Dęblin. Judging by the conducted investigations, it is possible to conclude that the difference in BLh coordinates of the aircraft Cessna 172 on the basis of the GPS solution and EGNOS (SBAS) solution equals, respectively: from -0.5 m to +3 m for component B; and from -2 m to +6 m for component L; from approximately -11 m to over +1 m for component h. In addition, the paper defines factors of dilution of precision PDOP, based on the GPS and EGNOS (SBAS) solutions. The average value of the PDOP coefficient for a solution in the tracking GPS mode was 2.7, whereas in the EGNOS (SBAS) tracking mode, it was equal to 2.8.

Źródło:

Annual of Navigation; 2019, 26; 106-113
1640-8632

Pojawia się w:

Annual of Navigation

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 19.

Tytuł:

On Testing the Significance of the Coefficients in the Multiple Regression Analysis
O testowaniu istotności współczynników w modelu regresji wielorakiej

Autorzy:

Kończak, Grzegorz

Powiązania:

https://bibliotekanauki.pl/articles/906860.pdf

Data publikacji:

2012

Wydawca:

Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego

Tematy:

linear regression model
permutation test
Monte Carlo

Opis:

The multiple regression analysis is a statistical tool for the investigation relationships between the dependent and independent variables. There are some procedures for selecting a subset of given predictors. These procedures are widely available in statistical computer packages. The most often used are forward selection, backward selection and stepwise selection. In these procedures testing the significance of parameters is used. If some assumptions such as normality errors are not fulfilled, the results of testing significance of the parameters may not be trustworthy. The main goal of this paper is to present a permutation test for testing the significance of the coefficients in the regression analysis. Permutation tests can be used even if the normality assumption is not fulfilled. The properties of this test were analyzed in the Monte Carlo study.

Źródło:

Acta Universitatis Lodziensis. Folia Oeconomica; 2012, 269
0208-6018
2353-7663

Pojawia się w:

Acta Universitatis Lodziensis. Folia Oeconomica

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 20.

Tytuł:

Leadership and project success in development sector

Autorzy:

Ahmed, Saghir
Abdullahi, Abdullahi M.

Powiązania:

https://bibliotekanauki.pl/articles/522535.pdf

Data publikacji:

2017

Wydawca:

Uniwersytet Ekonomiczny w Katowicach

Tematy:

Development sector
Multiple linear regression
Project success

Opis:

Aim/purpose – The study aims to investigate the relationship among the leadership, operational efficiency and project success in general and the impact of transformational leadership and operational efficiency on project success in particular. Design/methodology/approach – Mean comparison from descriptive statistics and multiple linear regression from inferential statistics was used to determine the association between variables and further impact of the transformational leadership and operational efficiency on project success in the development sector. The paper presents the results of a survey conducted among 200 employees from the top, middle & lower management levels of various national & international development organizations working in Pakistan like Microfinance Banks and other Rural Support Programs. Statistical Package for Social Sciences (SPSS) was used to process data. Findings – The result shows positive association among transformational leadership, operational efficiency and project success. In addition, it was found that transformational leadership and operational efficiency have a positive and statistically significant impact on the project success. It is concluded that both transformational leadership and operational efficiency are vital to achieving the optimum level of success in any project, especially in the development sector. Research implications/limitations – The integral limitation of the study was the respondents because most of the development organizations have their operations in rural areas where access was difficult because of limited time and resources. In addition, such organizations are always reluctant to provide survey feedback. Originality/value/contribution – The paper contribution is in the theoretical and practical knowledge of the project success factors in the development sector which is still a somehow unexplored area. Regulators of the development sector may be benefited from this study.

Źródło:

Journal of Economics and Management; 2017, 30; 5-19
1732-1948

Pojawia się w:

Journal of Economics and Management

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 21.

Tytuł:

Method of identifying a type 2 membership function and application to decision-making problems

Autorzy:

Uemura, Y.

Powiązania:

https://bibliotekanauki.pl/articles/970059.pdf

Data publikacji:

2015

Wydawca:

Polska Akademia Nauk. Instytut Badań Systemowych PAN

Tematy:

type 2 membership function
fuzzy linear regression model
fuzzy log-linear regression model
fuzzy linear polynomial regression model
indifferent zone
decision rule on a fuzzy event

Opis:

Tanaka (1991) suggested that the parameters of a linear regression model should be made fuzzy In order to better reflect the nature of the system, involving a definite degree of variability, and created a fuzzy linear regression model. This model can be formulated in the form of a linear programming problem that minimizes the span between the upper and lower limits under the constraints that include all data. In recent years, all the attention in this context has been focused on a fuzzy number that has an indifferent zone. A fuzzy number that we consider here is defined by using a type 2 membership function. This paper addresses the fact that a type 2 membership function has the upper and lower limits and shows that a type 2 membership function can be identified by expanding a fuzzy linear regression model into a fuzzy linear polynomial regression model. Finally, after a proposed fuzzy polynomial model is identified, a mathematical model is developed for a fuzzy decision-making method that accounts for an indifferent zone.

Źródło:

Control and Cybernetics; 2015, 44, 3; 399-406
0324-8569

Pojawia się w:

Control and Cybernetics

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 22.

Tytuł:

Comparison of classical and Theil-Kendall methods in assessing the significance of linear trend of precipitation in south-eastern Poland

Autorzy:

Węglarczyk, S.

Powiązania:

https://bibliotekanauki.pl/articles/101285.pdf

Data publikacji:

2016

Wydawca:

Polska Akademia Nauk. Stowarzyszenie Infrastruktura i Ekologia Terenów Wiejskich PAN

Tematy:

annual precipitation total
annual daily maximum precipitation
Upper Vistula River
ordinary least squares linear regression
Kendall-Theil linear regression

Opis:

Two methods of linear trend estimation: the ordinary least squares (OLS, parametric) and Theil-Kendall (TK, nonparametric) are compared in the paper. The comparison was made using 65 time series of annual totals, Pa , and annual daily maximum, Pmax, of precipitation, 30-year long each, recorded in the south-eastern part of Poland (the Upper Vistula catchment). The OLS and TK slope coefficients of trends revealed high similarity for both Pa and Pmax series. The signs of slopes are the same for 64 sites for Pa and 63 sites for Pmax with positive signs prevailing: the numbers of decreasing trends for Pa OLS and TK slopes were 3 and 4, respectively, and, for Pmax, 13 for both OLS and TK slopes. In trend significance testing, both methods produced similar results for Pa time series: out of 16 significant trends, 13 were determined with both OLS and TK at the same sites. For Pmax series such agreement was found for 4 trends out of 10. Spatial distribution of significant trends showed a kind of clustering in certain parts of the investigated area.

Źródło:

Infrastruktura i Ekologia Terenów Wiejskich; 2016, IV/2; 1439-1450
1732-5587

Pojawia się w:

Infrastruktura i Ekologia Terenów Wiejskich

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 23.

Tytuł:

Non-Linear Regression Models for Volume Estimation of Gmelina arborea (Roxb.) in Uyo Ravine Plantation, Akwa Ibom State, Nigeria

Autorzy:

Oyebade, B. A.
Aigbe, H. I.
Eguakun, F. S.
Edem, M. A.

Powiązania:

https://bibliotekanauki.pl/articles/1030779.pdf

Data publikacji:

2020

Wydawca:

Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN

Tematy:

Gmelina arborea
Models
Non-linear Regression
Volume estimation

Opis:

This research elucidates non linear relationship for volume estimation of Gmelina arborea in Uyo Ravine plantation, Akwa Ibom State Nigeria. Series of functional models were developed and the estimates of measurement of stand parameters such as diameter at breast height (DBH), stump diameter (Dst), total height (THT), merchantable height, (MTH), merchantable length (MLT) were used for modeling procedures for best fit models for stand volume estimation. Twenty temporary sample plots of 20m x 20m were randomly established without replacement and all trees in each plot were measured. Quantitative data collected were subjected to correlation and regression analyses for determination of empirical relationship between the growth variables. The developed models for volume estimation were evaluated by confirming the goodness of fit of the model and the statistical significance of the parameters using statistical relevant fit indices and criteria. The results of the study showed there were significant associations between the Gmelina arborea growth characteristics both at the individual and stand levels. The correlation analyses revealed a significant association with coefficient of correlation (r) ranging from 0.576 – 0.836 among the Gmelina arborea growth characteristics at the stand level while the association between the volume and diameter at breast height gave r-value of 0.978 which was very significant P<0.05. Similarly, the results of the study in testing for relationship among the growth parameters using volume models showed that the non linear regression volume models significantly fulfilled the criteria for model selection or goodness of fit among cubic, logarithm and quadratic non linear regression models with their coefficient of determination (R2) ranging from 0.640-0.881 and low values of standard error of the estimate (SEE) at P< 0.05. These models were recommended for volume estimation of Gmelina arborea in the study area and other Gmelina arborea plantations for effective plantation forest management in Nigeria.

Źródło:

World Scientific News; 2020, 145; 46-61
2392-2192

Pojawia się w:

World Scientific News

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 24.

Tytuł:

Ocena zmian stężenia chlorków w solankach Uzdrowiska Goczałkowice-Zdrój przy zastosowaniu metod statystycznych
Assessment of the chloride concentration changes in brines of Goczałkowice health resort using statistical methods

Autorzy:

Suchy, P.
Dąbrowska, D.
Kucharski, R.

Powiązania:

https://bibliotekanauki.pl/articles/2075428.pdf

Data publikacji:

2015

Wydawca:

Państwowy Instytut Geologiczny – Państwowy Instytut Badawczy

Tematy:

solanki
regresja liniowa
Goczałkowice Zdrój
brines
linear regression

Opis:

The article presents the assessment of the groundwater quality trend on the example of chlorides in the region of Goczałkowice Zdrój health resort. The data from the years 1977–2014 from two boreholes: GN-1, GN-2 were analysed. The trend assessment was made using the linear model, the fixed effect model and the robust statistic. The results of these methods indicate a downward trend of chlorides concentration.

Źródło:

Przegląd Geologiczny; 2015, 63, 10/2; 1080--1084
0033-2151

Pojawia się w:

Przegląd Geologiczny

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 25.

Tytuł:

Determining the structural amino acid attributes which are important in both protein thermostability and alkalophilicity: a case study on xylanase

Autorzy:

Delavari, A.
Zare, S.
Ghaemi, M.R.
Kashfi, R.
Ebrahimi, M.
Tahmasebi, A.
Ebrahimie, E.

Powiązania:

https://bibliotekanauki.pl/articles/80216.pdf

Data publikacji:

2014

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

amino acid
xylanase
hemicellulose
thermostability
linear regression
bioinformatics

Źródło:

BioTechnologia. Journal of Biotechnology Computational Biology and Bionanotechnology; 2014, 95, 2
0860-7796

Pojawia się w:

BioTechnologia. Journal of Biotechnology Computational Biology and Bionanotechnology

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 26.

Tytuł:

ANALYSIS OF CALENDAR EFFECTS IN MARKETS OF PRECIOUS METALS

Autorzy:

Krawiec, Monika
Górska, Anna

Powiązania:

https://bibliotekanauki.pl/articles/453430.pdf

Data publikacji:

2014

Wydawca:

Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Katedra Ekonometrii i Statystyki

Tematy:

precious metals
calendar effects
linear regression
GARCH models

Opis:

Calendar effects are anomalies in the behavior of asset prices that may disprove the efficient market hypothesis. The well recognized are: day-of-the-week effect, month-of-the-year effect, holidays effect and turn-of-the-month effect. These anomalies are observed in many financial markets, most often on stock exchanges, thus studies on calendar effects usually focus on stock markets. However, the aim of the paper is searching for the anomalies in precious metals markets (the empirical data covers London daily spot prices from 2008 through 2013). This is the continuation of authors’ prior research aimed at testing weak market efficiency hypothesis for precious metals markets.

Źródło:

Metody Ilościowe w Badaniach Ekonomicznych; 2014, 15, 2; 392-402
2082-792X

Pojawia się w:

Metody Ilościowe w Badaniach Ekonomicznych

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 27.

Tytuł:

Results of radon CR-39 detectors exposed in schools due two different long-term periods

Autorzy:

Stojanovska, Z.
Boev, B.
Zunic, Z. S.
Bossew, P.
Jovevska, S.

Powiązania:

https://bibliotekanauki.pl/articles/147386.pdf

Data publikacji:

2016

Wydawca:

Instytut Chemii i Techniki Jądrowej

Tematy:

comparison
linear regression analysis
relative bias
U test

Opis:

The paper deals with the recent survey of indoor radon (Rn) results in schools, where paired CR-39 detectors were simultaneously exposed to different long-term periods, i.e., one detector was exposed during the whole year and the other one in the period of the school year duration. To be able to compare the results obtained, for its analysis, the relative bias and U tests were used. It was found that there are no systematic differences between the results, which points that the exposure of the detector during summer vacations did not affect the estimated average annual radon concentration. The paired results were modelled by a linear function, giving an extremely high coeffi cient of determination R2 = 0.99.

Źródło:

Nukleonika; 2016, 61, 3; 385-389
0029-5922
1508-5791

Pojawia się w:

Nukleonika

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 28.

Tytuł:

Application of multiple linear regression (MLR) analysis for concentration of chromite tailings by the flotation

Autorzy:

Deniz, Vedat

Powiązania:

https://bibliotekanauki.pl/articles/1449296.pdf

Data publikacji:

2020

Wydawca:

Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej

Tematy:

chromite
tailing
flotation
separation
multiple linear regression analysis

Opis:

In this study, the concentration of chromite minerals by amine flotation of a chromite tailing (slime) with content 23.84% Cr2O3 from Yeşilova-Burdur (Turkey) was investigated. In experimental studies, firstly, some operating parameters of the rougher flotation observed for a low-grade chromite tailing were investigated. Secondly, multiple linear regression (MLR) analyses were performed to determine the effects of some operating parameters on the performance of the rougher amine flotation. From the experimental results, multiple linear regression equations were developed to predict the recovery and grade of the chromite concentrate, and the regression coefficients between experimental and predicted values were found to be quite good (R2 values of 0.772 and 0.917, respectively). Additionally, it was found that the conditioning time and low pH value using $H_2SO_4$ showed an important effect on the recovery and the grade of the chromite concentrate.

Źródło:

Physicochemical Problems of Mineral Processing; 2020, 56, 4; 579-589
1643-1049
2084-4735

Pojawia się w:

Physicochemical Problems of Mineral Processing

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 29.

Tytuł:

Econometric models - a method for examining factors of implementation of public-private partnership projects in selected European countries
Modele ekonometryczne - metoda badania czynników realizacji projektów partnerstwa publiczno-prywatnego w wybranych krajach europejskich

Autorzy:

Rogowski, Andrzej
Zagożdżon, Beata

Powiązania:

https://bibliotekanauki.pl/articles/2215600.pdf

Data publikacji:

2022

Wydawca:

Uniwersytet Technologiczno-Humanistyczny im. Kazimierza Pułaskiego w Radomiu

Tematy:

econometric model
linear regression
non-linear regression
public-private partnership PPP
model ekonometryczny
regresja liniowa
regresja nieliniowa
partnerstwo publiczno-prywatne PPP

Opis:

Modern science is based on the study of economic phenomena and tries to quantify them in a measurable way. Econometric models are used for this purpose. The objectof this research was to develop econometric models that show the strength of the influence of various factors on the implementation of public-private partnership (PPP) projects in the area of transport infrastructure in France, GB, Germany, the Netherlands and Belgium. The models express the dependence of the value and number of PPP contracts on the value of measurable PPP success factors. Projects with a value of at least €40 million were included. A linear model and seven models transformable to linear were used. Four groups of factors were considered as explanatory variables. Fourteen indicators were obtained. Principal components determined based on covariance and correlation matrices were also used. The best models for the number of PPP contracts are linear and hyperbolic I models. For the value of contracts - linear and hyperbolic I and logarithmic models. The best models were indicated taking into account the type of explanatory variables and regardless of the type of explanatory variables. Nine criteria were used to assess the quality of the models. Factors having a significant impact on the value and number of PPP models were identified from the best models. Factors having no significant influence were also indicated.
Współczesna nauka opiera się na badaniu zjawisk ekonomicznych i stara się je kwantyfikować w sposób wymierny. Do tego celu wykorzystuje się modele ekonometryczne. Przedmiotem badań było opracowanie modeli ekonometrycznych, które pokazują siłę wpływu różnych czynników na realizację projektów partnerstwa publiczno-prywatnego (PPP) w obszarze infrastruktury transportowej w Francji, Wielkiej Brytanii, Niemczech, Holandii i Belgii. Modele te wyrażają zależność wartości i liczby kontraktów PPP od wartości mierzalnych czynników sukcesu PPP. Uwzględniano projekty o wartości co najmniej 40 mln euro. Zastosowano model liniowy oraz siedem modeli przekształcalnych do liniowego. Jako zmienne objaśniające uwzględniono cztery grupy czynników. Uzyskano czternaście wskaźników. Wykorzystano również składowe główne wyznaczane w oparciu o macierze kowariancji i korelacji. Najlepszymi modelami dla liczby umów PPP są modele liniowe i hiperboliczne I. Dla wartości umów - modele liniowe i hiperboliczne I i logarytmiczne. Wskazano modele najlepsze z uwzględnieniem typu zmiennych objaśniających i bez względu na typ zmiennych objaśniających. Do oceny jakości modeli wykorzystano dziewięć kryteriów. Na podstawie modeli najlepszych wskazano czynniki mające istotny wpływ na wartość i liczbę modeli PPP. Wskazano również czynniki nie mające istotnego wpływu.

Źródło:

Journal of Civil Engineering and Transport; 2022, 4, 3; 25--55
2658-1698
2658-2120

Pojawia się w:

Journal of Civil Engineering and Transport

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 30.

Tytuł:

Przestrzenne zróżnicowanie bezrobocia rejestrowanego w Polsce w latach 1999-2006
Registered Unemployment in Poland by Region in 1999-2006

Autorzy:

Tokarski, Tomasz

Powiązania:

https://bibliotekanauki.pl/articles/574827.pdf

Data publikacji:

2008-08-31

Wydawca:

Szkoła Główna Handlowa w Warszawie. Kolegium Analiz Ekonomicznych

Tematy:

unemployment
labor market
regional/local analyses
linear regression method

Opis:

The author examines unemployment in different regions of Poland and its determinants in 1999-2006. The analysis focuses on differences in joblessness at the county (local) level. The discussion of the regional diversification of unemployment is combined with analyses describing the diversification of unemployment on local labor markets in sectors such as agriculture, industry, construction, market services, and non-market services. The statistical analyses described in the article are based on a simple linear regression method. The analyses show that the lowest jobless rates were usually noted in large and medium-sized cities where most of the labor force is employed in the market services sector. Relatively low unemployment rates were also noted in agricultural counties in which small private farms absorbed labor market shocks. The highest unemployment rates were noted in post-industrial areas and areas that were formerly home to many state-run farms.

Źródło:

Gospodarka Narodowa. The Polish Journal of Economics; 2008, 225, 7-8; 25-42
2300-5238

Pojawia się w:

Gospodarka Narodowa. The Polish Journal of Economics

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 31.

Tytuł:

Matrix H and Its Applications in Economic and Tourist Research
Macierz H i jej zastosowania w badaniach ekonomicznych i turystycznych

Autorzy:

Wagner, Wiesław

Powiązania:

https://bibliotekanauki.pl/articles/905680.pdf

Data publikacji:

2006

Wydawca:

Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego

Tematy:

linear regression model
hat matrix
prediction matrix
lever points

Opis:

The paper characterizes and gives some basic properties of matrix H that is the operator of orthogonal projection on the space of columns of matrix X, which is the hat matrix in linear regression model. The author enumerates some properties of diagonal elements of the matrix, which were defined as lever points and high-lever points. The paper deals also with the form of matrix H with repeating observations relating to independent variables. Two examples show some applications of matrix H.
W artykule określono i podano podstawowe własności macierzy H, będącej operatorem ortogonalnego rzutu na przestrzeń kolumn macierzy X, która jest macierzą układu w modelu regresji liniowej. Wymienione zostały własności elementów diagonalnych tej macierzy, które zostały określone jako punkty dźwigniowe i wysoko dźwigniowe punkty. Także zajęto się postacią macierzy H przy powtarzających się obserwacjach odnoszących się do zmiennych niezależnych. Pewne zastosowania macierzy H podano na dwóch przykładach.

Źródło:

Acta Universitatis Lodziensis. Folia Oeconomica; 2006, 196
0208-6018
2353-7663

Pojawia się w:

Acta Universitatis Lodziensis. Folia Oeconomica

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 32.

Tytuł:

Determination of soil infiltration rate equation based on soil properties using multiple linear regression

Autorzy:

Harisuseno, Donny
Cahya, Evi N.

Powiązania:

https://bibliotekanauki.pl/articles/1844413.pdf

Data publikacji:

2020

Wydawca:

Instytut Technologiczno-Przyrodniczy

Tematy:

infiltration rate
model performance
multiple linear regression
soil property

Opis:

Infiltration process plays important role in water balance concept particularly in runoff analysis, groundwater recharged, and water conservation. Hence, increasing knowledge concerning infiltration process becomes essential for water manager to gain an effective solution to water resources problems. This study employed multiple linear regression for estimating infiltration rate where the soil properties used as the predictor variable and measured infiltration rate as the response variable. Field measurement was conducted at sixteen points to obtain infiltration rate using double ring infiltrometer and soil properties namely soil porosity, silt, clay, sand content, degree of saturation, and water content. The result showed that measured infiltration rate had an average initial infiltration rate (f0) of 6.92 mm∙min–1 and final infiltration rate (fc) of 1.49 mm∙min–1. Soil porosity and sand content showed a positive correlation with infiltration rate by 0.842, 0.639, respectively, while silt, clay, water content, and degree of saturation exhibited a negative correlation by –0.631, –0.743, –0.66 and –0.49, respectively. Three types of regression equations were established based on type of soil properties used as predictor variables. The model performance analysis was conducted for each equation and the result shows that the equation with five predictor variables fMLR_3 = – 62.014 + 1.142 soil porosity – 0.205 clay, – 0.063 sand – 0.301, silt + 0.07 soil water content with R2 (0.87) and Nash–Sutcliffe (0.998) gave the best result for estimating infiltration rate. The study found that soil porosity contributes mostly to the regression equation that indicates great influence in controlling soil infiltration behavior.

Źródło:

Journal of Water and Land Development; 2020, 47; 77-88
1429-7426
2083-4535

Pojawia się w:

Journal of Water and Land Development

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

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Skocz do pozycji: 33.

Tytuł:

Development of pedotransfer functions for predicting soil bulk density : a case study in Indonesian small island

Autorzy:

Yanti, Evi Dwi
Mulyono, Asep
Djuwansah, Muhammad Rahman
Narulita, Ida
Putra, Risandi Dwirama
Surinati, Dewi

Powiązania:

https://bibliotekanauki.pl/articles/2048512.pdf

Data publikacji:

2021

Wydawca:

Instytut Technologiczno-Przyrodniczy

Tematy:

bulk density
multiple linear regression
pedotransfer function
soil property

Opis:

Unlike many other countries, tropical regions such as Indonesia still lack publications on pedotransfer functions (PTFs), particularly ones dedicated to the predicting of soil bulk density. Soil bulk density affects soil density, porosity, water holding capacity, drainage, and the stock and flux of nutrients in the soil. However, obtaining access to a laboratory is difficult, time-consuming, and costly. Therefore, it is necessary to utilise PTFs to estimate soil bulk density. This study aims to define soil properties related to soil bulk density, develop new PTFs using multiple linear regression (MLR), and evaluate the performance and accuracy of PTFs (new and existing). Seven existing PTFs were applied in this study. For the purposes of evaluation, Pearson’s correlation (r), mean error (ME), root mean square error (RMSE), and modelling efficiency (EF) were used. The study was conducted in five soil types on Bintan Island, Indonesia. Soil depth and organic carbon (SOC) are soil properties potentially relevant for soil bulk density prediction. The ME, RMSE, and EF values were lower for the newly developed PTFs than for existing PTFs. In summary, we concluded that the newly developed PTFs have higher accuracy than existing PTFs derived from literature. The prediction of soil bulk density will be more accurate if PTFs are applied directly in the area that is to be studied.

Źródło:

Journal of Water and Land Development; 2021, 51; 181-187
1429-7426
2083-4535

Pojawia się w:

Journal of Water and Land Development

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 34.

Tytuł:

The generalization of some properties of universal matrices

Autorzy:

Hauke, Jan
Krzyszkowska, Jolanta

Powiązania:

https://bibliotekanauki.pl/articles/748120.pdf

Data publikacji:

1991

Wydawca:

Polskie Towarzystwo Matematyczne

Tematy:

Measures of association
Matrix inversion, generalized inverses
Linear regression

Opis:

.
We consider an k x k universal matrix G introduced by Hellwig (1976). We analyze two problems: the nonsingularity of the matrix G and the sign-consistency of the elements of the vector r = (ri) and of the solutrion b = (bi) to the system Gb = r. Obtained results generalize the results presented by Kolupa (1977, 1980).

Źródło:

Mathematica Applicanda; 1991, 20, 34
1730-2668
2299-4009

Pojawia się w:

Mathematica Applicanda

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 35.

Tytuł:

THE APPLICATION OF REGRESSION ANALYSIS IN TESTING UNCOVERED INTEREST RATE PARITY

Autorzy:

Kisielińska, Joanna
Czech, Katarzyna

Powiązania:

https://bibliotekanauki.pl/articles/453467.pdf

Data publikacji:

2013

Wydawca:

Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Katedra Ekonometrii i Statystyki

Tematy:

uncovered interest rate parity
exchange rate
linear regression model

Opis:

The aim of the paper is to evaluate and compare two linear regression models proposed by Froot and Frankel (1989) and to show their application in verification of the uncovered interest rate parity (UIP) hypothesis in the selected ten exchange rate markets. The paper shows that both models proposed by Froot and Frankel (1989) are formally equivalent, but they may give different regression results. Many researchers claim that uncovered interest rate parity tends to hold more frequently in emerging markets than in developed economies. The paper is focused on five developed and five emerging economies. It is partly confirmed that developing countries work better in terms of UIP.

Źródło:

Metody Ilościowe w Badaniach Ekonomicznych; 2013, 14, 1; 232-242
2082-792X

Pojawia się w:

Metody Ilościowe w Badaniach Ekonomicznych

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 36.

Tytuł:

Generalized ordered linear regression with regularization

Autorzy:

Łęski, J.
Henzel, N.

Powiązania:

https://bibliotekanauki.pl/articles/201591.pdf

Data publikacji:

2012

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

linear regression
IRLS
OWA
conjugate gradient optimization
robust methods

Opis:

Linear regression analysis has become a fundamental tool in experimental sciences. We propose a new method for parameter estimation in linear models. The 'Generalized Ordered Linear Regression with Regularization' (GOLRR) uses various loss functions (including the o-insensitive ones), ordered weighted averaging of the residuals, and regularization. The algorithm consists in solving a sequence of weighted quadratic minimization problems where the weights used for the next iteration depend not only on the values but also on the order of the model residuals obtained for the current iteration. Such regression problem may be transformed into the iterative reweighted least squares scenario. The conjugate gradient algorithm is used to minimize the proposed criterion function. Finally, numerical examples are given to demonstrate the validity of the method proposed.

Źródło:

Bulletin of the Polish Academy of Sciences. Technical Sciences; 2012, 60, 3; 481-489
0239-7528

Pojawia się w:

Bulletin of the Polish Academy of Sciences. Technical Sciences

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 37.

Tytuł:

Statistical yielding models of some irrigated vegetable crops in dependence on water use and heat supply

Autorzy:

Vozhehova, Raisa
Kokovikhin, Sergii
Lykhovyd, Pavlo V.
Balashova, Halyna
Lavrynenko, Yuriy
Biliaieva, Iryna
Markovska, Olena

Powiązania:

https://bibliotekanauki.pl/articles/292829.pdf

Data publikacji:

2020

Wydawca:

Instytut Technologiczno-Przyrodniczy

Tematy:

linear model
multiple linear regression analysis
onion
potato
tomato
yield modelling

Opis:

Statistical analysis is helpful for better understanding of the processes which take place in agricultural ecosystems. Particular attention should be paid to the processes of crops’ productivity formation under the influence of natural and anthropogenic factors. The goal of our study was to provide new theoretical knowledge about the dependence of vegetable crops’ productivity on water supply and heat income. The study was conducted in the irrigated conditions of the semi-arid cold Steppe zone on the fields of the Institute of Irrigated Agriculture of NAAS, Kherson, Ukraine. We studied the historical data of productivity of three most common in the region vegetable crops: potato, tomato, onion. The crops were cultivated by using the generally accepted in the region agrotechnology. Historical yielding and meteorological data of the period 1990–2016 were used to develop the models of the vegetable crops’ productivity. We used two approaches: development of pair linear models in three categories (“yield – water use”, “yield – sum of the effective air temperatures above 10°C”); development of complex linear regression models taking into account such factors as total water use, and temperature regime during the crops’ vegetation. Pair linear models of the crops’ productivity showed that the highest effect on the yields of potato and onion has the water use index (R² of 0.9350 and 0.9689, respectively), and on the yield of tomato – temperature regime (R² of 0.9573). The results of pair analysis were proved by the multiple regression analysis that revealed the same tendencies in the crop yield formation depending on the studied factors.

Źródło:

Journal of Water and Land Development; 2020, 45; 190-197
1429-7426
2083-4535

Pojawia się w:

Journal of Water and Land Development

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 38.

Tytuł:

Use of high spatial resolution satellite data for monitoring and characterization of drought conditions in the Northwestern Algeria

Autorzy:

Abbes, M.
Hammed, A.
Lafrid, A.
Mahi, H.
Nehal, L.

Powiązania:

https://bibliotekanauki.pl/articles/89204.pdf

Data publikacji:

2018

Wydawca:

Politechnika Wrocławska. Wydział Geoinżynierii, Górnictwa i Geologii. Instytut Górnictwa

Tematy:

drought
Northwestern Algeria
SPI
NDVI
linear regression
satellite imagery

Opis:

Over the last decades, Algeria has witnessed intense and persistent drought periods characterized by a significant rainfall deficit. The Northwestern Algeria, such as the most south Mediterranean regions, is marked by alternating wet and dry periods and mixing between Atlantic and Mediterranean airs. In a climate context increasingly disturbed by anthropogenic activities, it is essential to analyze the dry episodes at spatial and temporal scales. In order to understand this problem, this work aims to use the potential of Landsat satellite imagery for monitoring drought conditions in the Cheliff watershed in the northwestern Algeria. As known, the behavior of vegetation is strongly related to climate changes. On this basis, a comparison of the variations in the standardized normalized difference vegetation index (NDVI) and those of the drought indices calculated from meteorological data was implemented. In fact, the rainfall series from fifty meteorological stations were analyzed. The standardized precipitation index (SPI) was calculated for the years 1987, 2000, 2006, 2011 and 2015, corresponding to the acquisition dates of Landsat images. Similarly, an extraction of the NDVI values was performed for each meteorological station. The linear regression between SPI and NDVI showed a good correlation. Thus, the obtained results enabled establishing a new drought index based essentially on satellite data. This index represents the advantage for monitoring spatially the drought phenomena and can solve the problem of climatic data lack.

Źródło:

Mining Science; 2018, 25; 71-99
2300-9586
2353-5423

Pojawia się w:

Mining Science

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 39.

Tytuł:

Comparison of bayesian and other approaches to the estimation of fatigue crack growth rate from 2D textural features

Autorzy:

Mojzeš, M.
Kukal, J.
Lauschmann, H.

Powiązania:

https://bibliotekanauki.pl/articles/279255.pdf

Data publikacji:

2017

Wydawca:

Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej

Tematy:

quantitative fractography
optimization
heuristic
linear regression
sub-model selection

Opis:

The fatigue crack growth rate can be explained using features of the surface of a structure. Among other methods, linear regression can be used to explain crack growth velocity. Nonlinear transformations of fracture surface texture features may be useful as explanatory variables. Nonetheless, the number of derived explanatory variables increases very quickly, and it is very important to select only few of the best performing ones and prevent overfitting at the same time. To perform selection of the explanatory variables, it is necessary to assess quality of the given sub-model. We use fractographic data to study performance of different information criteria and statistical tests as means of the sub-model quality measurement. Furthermore, to address overfitting, we provide recommendations based on a cross-validation analysis. Among other conclusions, we suggest the Bayesian Information Criterion, which favours sub-models fitting the data considerably well and does not lose the capability to generalize at the same time.

Źródło:

Journal of Theoretical and Applied Mechanics; 2017, 55, 4; 1269-1278
1429-2955

Pojawia się w:

Journal of Theoretical and Applied Mechanics

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 40.

Tytuł:

Some remarks on permutation type tests in linear models

Autorzy:

Husková, Marie
Picek, Jan

Powiązania:

https://bibliotekanauki.pl/articles/729768.pdf

Data publikacji:

2004

Wydawca:

Uniwersytet Zielonogórski. Wydział Matematyki, Informatyki i Ekonometrii

Tematy:

hypotheses testing
linear regression models
L₁- and L₂ - procedures

Opis:

The paper discusses applications of permutation arguments in testing problems in linear models. Particular attention will be paid to the application in L₁-test procedures. Theoretical results will beaccompanied by a simulation study.

Źródło:

Discussiones Mathematicae Probability and Statistics; 2004, 24, 2; 151-181
1509-9423

Pojawia się w:

Discussiones Mathematicae Probability and Statistics

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 41.

Tytuł:

The Interaction of Chlorophyll-a and Total Suspended Matter along the Western Semarang Bay, Indonesia, Based on Measurement and Retrieval of Sentinel 3

Autorzy:

Maslukah, Lilik
Ismunarti, Dwi Haryo
Widada, Sugeng
Sandi, Nur Fikri
Prayitno, Hanif Budi

Powiązania:

https://bibliotekanauki.pl/articles/2202166.pdf

Data publikacji:

2022

Wydawca:

Polskie Towarzystwo Inżynierii Ekologicznej

Tematy:

Sentinel 3
chlorophyll-a
total suspended matter
linear regression

Opis:

The Kendal Regency area is one of the areas on the northern coast of Central Java that has been experiencing rapid industrial development. The high human activity in this area will impact the quality of water in these surrounding areas and affect the fertility of the waters. The concentrations of chlorophyll-a (Chl-a) and total suspended matter (TSM) are major water quality parameters that can be retrieved using remotely sensed data. The retrieval satellite of the 3 OLCI chosen in this study has a 300 m spatial resolution. This study aimed to see the distribution and effect of total suspended matter (TSM) on chlorophyll-a based on measurement and retrieval of Sentinel 3 imagery using the linear regression method. The results show the chlorophyll-a distribution and the value from retrieval satellite are higher and occur over larger surface area compared to chlorophyll-a measurements. The linear regression model of chlorophyll-a by retrieval satellite imagery and measurement is y = 0.65x + 4.65 with R2 = 0.54. The presence of high amounts of suspended solids in the waters causes disturbances in the reflectance values, which are recorded by the retrieval of satellite. The model regression chlorophyll-a with TSM accuracy from retrieval satellite results in the equation y = -0.0416x + 5.14 (R2 = 0.45, p = 0.05, n = 13). The determination (R2) coefficient value is 0.445, which means that suspended solids have a 44.5% effect on chlorophyll-a and 55.5% is influenced by other factors and not examined in this study. The results show that TSM has an influence on the accuracy of chlorophyll-a and retrieval satellite recording can be disrupted if waters have high turbidity.

Źródło:

Journal of Ecological Engineering; 2022, 23, 10; 191--201
2299-8993

Pojawia się w:

Journal of Ecological Engineering

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 42.

Tytuł:

Correlation between air temperature and electricitydemand by linear regression and wavelet coherence approach: UK, Slovakia and Bosnia and Herzegovina case study

Autorzy:

Avdakovic, S
Ademovic, A.
Nuhanovic, A.

Powiązania:

https://bibliotekanauki.pl/articles/141710.pdf

Data publikacji:

2013

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

power system
electricity demand
air temperature
linear regression
wavelet coherence

Opis:

In this paper, the results of correlations between air temperature and electricity demand by linear regression and Wavelet Coherence (WTC) approach for three different European countries are presented. The results show a very close relationship between air temperature and electricity demand for the selected power systems, however, the WTC approach presents interesting dynamics of correlations between air temperature and electricity demand at different time-frequency space and provide useful information for a more complete understanding of the related consumption.

Źródło:

Archives of Electrical Engineering; 2013, 62, 4; 521-532
1427-4221
2300-2506

Pojawia się w:

Archives of Electrical Engineering

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 43.

Tytuł:

Autoregressive error-processes, cubic splines and tridiagonal matrices

Autorzy:

Drygas, Hilmar

Powiązania:

https://bibliotekanauki.pl/articles/729816.pdf

Data publikacji:

2003

Wydawca:

Uniwersytet Zielonogórski. Wydział Matematyki, Informatyki i Ekonometrii

Tematy:

autoregressive processes
cubic splines interpolation
linear regression model
time series

Opis:

In the paper formulate for the inversion of some tridiagonal matrices are given. The results can be applied to the autoregressive processes.

Źródło:

Discussiones Mathematicae Probability and Statistics; 2003, 23, 2; 147-165
1509-9423

Pojawia się w:

Discussiones Mathematicae Probability and Statistics

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 44.

Tytuł:

A method of calculation of ship resistance on calm water useful at preliminary stages of ship design

Autorzy:

Żelazny, K.

Powiązania:

https://bibliotekanauki.pl/articles/359058.pdf

Data publikacji:

2014

Wydawca:

Akademia Morska w Szczecinie. Wydawnictwo AMSz

Tematy:

approximate method of resistance calculation
bulk carrier
multiple linear regression

Opis:

During preliminary stages of ship design, decisions on ship properties are made only with little knowledge on ship hull geometry – a ship designer has only the basis dimensions at his disposal. Therefore on these initial stages of ship design, methods of calculation of ship properties (eg. resistance) on the basis of basic design criteria are indispensable. The article presents a new method of calculation of bulk carriers resistance which proves exact even with a minimum number of geometrical parameters of a ship’s hull.

Źródło:

Zeszyty Naukowe Akademii Morskiej w Szczecinie; 2014, 38 (110); 125-130
1733-8670
2392-0378

Pojawia się w:

Zeszyty Naukowe Akademii Morskiej w Szczecinie

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 45.

Tytuł:

Simultaneous optimization of flotation column performance using genetic evolutionary algorithm

Autorzy:

Nakhaei, F.
Irannajad, M.
Yousefikhoshbakht, M.

Powiązania:

https://bibliotekanauki.pl/articles/110806.pdf

Data publikacji:

2016

Wydawca:

Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej

Tematy:

flotation column
optimization
genetic algorithm
non-linear regression
upgrading curve

Opis:

Column flotation is a multivariable process. Its optimization guarantees the metallurgical yield of the process, expressed by the grade and recovery of the concentrate. The present work aimed at applying genetic algorithms (GAs) to optimize a pilot column flotation process which is characterized by being difficult to be optimized via conventional methods. A non-linear mathematical model was used to describe the dynamic behavior of the multivariable process. The solution of the optimization problem using conventional algorithms does not always lead to convergence because of the high dimensionality and non-linearity of the model. In order to deal with this process, the use of a genetic evolutionary algorithm is justified. In this way, GA was coupled with the multivariate non-linear regression (MNLR) of the column flotation metallurgical performance as a fitting function in order to optimize the column flotation process. Then, this kind of intelligent approach was verified by using mineral processing approaches such as Halbich’s upgrading curve. The aim of the optimization through GAs was searching for the process inputs that maximize the productivity of copper in the Sarcheshmeh pilot plant. In this case, the simulation optimization problem was defined as finding the best values for the froth height, chemical reagent dosage, wash water, air flow rate, air holdup, and Cu grade in rougher and column feed streams. The results indicated that GA was a robust and powerful search method to find the best values of the flotation column model parameters that lead to more reliable simulation predictions at a reasonable time. Based on the grade–recovery Halbich upgrading curve, the MNLR model coupled with GA can be used for determination of the flotation optimum conditions.

Źródło:

Physicochemical Problems of Mineral Processing; 2016, 52, 2; 874-893
1643-1049
2084-4735

Pojawia się w:

Physicochemical Problems of Mineral Processing

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 46.

Tytuł:

Enhancing the GDEMs of Egypt Using a Surface Subtraction Approach

Autorzy:

El-Ashmawy, Nagwa
Al-Krargy, Essam

Powiązania:

https://bibliotekanauki.pl/articles/2105517.pdf

Data publikacji:

2022

Wydawca:

Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH

Tematy:

global DEM
DEM enhancement
empirical approach
linear regression analysis
Egypt

Opis:

This paper proposes an enhancement approach to improve the accuracy of global Digital Elevation Models (GDEMs) in Egypt. The proposed approach is an empirical one that depends on subtracting the heights error from the original DEM. The research includes the evaluation and enhancement of SRTM-1 (SRTM v4.1), ASTER GDEM v2, and AW3D30 v2 GDEMs, in Egypt, using 980 well distributed GPS/levelling points, that cover the entire country. The GPS/levelling points are divided into 500 control and 390 check points. The results show that the root mean square error (RMSE) in the SRTM, ASTER and AW3D30 are 3.99 m, 8.81 m, and 2.98 m respectively. For enhancing purposes, two different approaches are used: a linear regression analysis approach, and the proposed empirical surface subtraction approach. The results of the linear regression analysis approach show that the accuracies are improved by 3%, 16%, and 3% for SRTM, ASTER and AW3D30 respectively. However, the accuracies are improved by 5%, 23%, and 16% for SRTM, ASTER and AW3D30 respectively when the proposed approach is followed. After using the proposed approach, the obtained accuracy of the enhanced DEM reached 2.5 m.

Źródło:

Geomatics and Environmental Engineering; 2022, 16, 3; 57--77
1898-1135

Pojawia się w:

Geomatics and Environmental Engineering

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 47.

Tytuł:

An accurate model of LED luminaire using measurement results for estimation of electrical parameters based on the multivariable regression method

Autorzy:

Sikora, Roman
Markiewicz, Przemysław
Rózga, Paweł

Powiązania:

https://bibliotekanauki.pl/articles/2106413.pdf

Data publikacji:

2022

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

LED light source
LED luminaire
linear regression
electrical parameters measurement

Opis:

Light sources and luminaires made in the LED technology are nowadays widely used in industry and at home. The use of these devices affects the operation of the power grid and energy efficiency. To estimate this impact, it is important to know the electrical parameters of light sources and luminaires, especially with the possibility of dimming. The article presents the results of measurements of electrical parameters as well as luminous flux of dimmable LED luminaires as a function of dimming and RMS supply voltage. On the basis of the performed measurements, a model of LED luminaire was developed for prediction of electrical parameters at set dimming values and RMS values of the supply voltage. The developed model of LED luminaire has 2 inputs and 26 outputs. This model is made based on 26 single models of electrical parameters, whose input signals are supply and control voltages. The linear regression method was used to develop the models. An example of the application of the developed model for the prediction of electrical parameters simulating the operation of an LED luminaire in an environment most similar to real working conditions is also presented.

Źródło:

Metrology and Measurement Systems; 2022, 29, 2; 251--269
0860-8229

Pojawia się w:

Metrology and Measurement Systems

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 48.

Tytuł:

Integration of Overall Equipment Effectiveness and Six Sigma Approach to Minimize Product Defect and Machine Downtime

Autorzy:

Nurprihatin, Filscha
Rembulan, Glisina Dwinoor
Andry, Johanes Fernandes
Lubis, Maulidina
Widiwati, Ivana Tita Bella
Vaezi, Ali

Powiązania:

https://bibliotekanauki.pl/articles/27324207.pdf

Data publikacji:

2023

Wydawca:

Polska Akademia Nauk. Czasopisma i Monografie PAN

Tematy:

overall equipment effectiveness
six sigma
multiple linear regression
DMAIC
packaging quality

Opis:

This study was conducted in a company that produces palm oil-based products such as cooking oil and margarine. The study aimed to encounter defects in packaging pouches. This study integrated the overall equipment effectiveness (OEE) with the six sigma DMAIC method. The OEE was performed to measure the efficiency of the machine. Three factors were measured in OEE: availability, performance, and quality. These factors were calculated and compared to the OEE world-class value. Then, the Multiple Linear Regression was performed using SPSS to determine the correlation between measurement variables toward the OEE value. Lastly, the six sigma method was implemented through the DMAIC approach to find the solution and improve the packaging quality. Supposing the recommendations are implemented, the OEE is expected to increase from 82% to 85%, with availability ratio, performance ratio, and quality ratio at, 99%, 86%, and 99.8%, respectively.

Źródło:

Management and Production Engineering Review; 2023, 14, 4; 71--91
2080-8208
2082-1344

Pojawia się w:

Management and Production Engineering Review

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 49.

Tytuł:

Determinants method of explanatory variables set selection to linear model

Autorzy:

Rzymowski, W.
Surowiec, A.

Powiązania:

https://bibliotekanauki.pl/articles/102317.pdf

Data publikacji:

2014

Wydawca:

Stowarzyszenie Inżynierów i Techników Mechaników Polskich

Tematy:

linear regression analysis
least square parameter estimation
relative error
Gram matrix

Opis:

The determinants method of explanatory variables set selection to the linear model is shown in this article. This method is very useful to find such a set of variables which satisfy small relative error of the linear model as well as small relative error of parameters estimation of this model. Knowledge of the values of the parameters of this model is not necessary. An example of the use of the determinants method for world’s population model is also shown in this article. This method was tested for 224 – 1 models for a set of 23 potential explanatory variables. 5 world’s population models with one, two, three, four and five explanatory variables were chosen and analysed.

Źródło:

Advances in Science and Technology. Research Journal; 2014, 8, 23; 80-87
2299-8624

Pojawia się w:

Advances in Science and Technology. Research Journal

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 50.

Tytuł:

A simulation strategy to determine the mechanical behaviour of cork-rubber composite pads for vibration isolation

Autorzy:

Lopes, Helena
Silva, Susana P.
Machado, José

Powiązania:

https://bibliotekanauki.pl/articles/2057983.pdf

Data publikacji:

2022

Wydawca:

Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN

Tematy:

cork-rubber composites
compression
vibration isolation
linear regression
finite element analysis

Opis:

The present work aimed to determine the performance of new cork-rubber composites, applying a modelling-based approach. The static and dynamic behaviour under compression of new composite isolation pads was determined using mathematical techniques. Linear regression was used to estimate apparent compression modulus and dynamic stiffness coefficient of compounds samples based on the effect of fillers, cork and other ingredients. Using the results obtained by regression models, finite element analysis (FEA) was applied to determine the behaviour of the same cork-rubber material but considering samples with different dimensions. The majority of the regression models presented R2 values above 90%. Also, a good agreement was found between the results obtained by the presented approach and previous experimental tests. Based on the developed methodology, the compression behaviour of new cork-rubber compounds can be accessed, improving product development stages.

Źródło:

Eksploatacja i Niezawodność; 2022, 24, 1; 80--88
1507-2711

Pojawia się w:

Eksploatacja i Niezawodność

Dostawca treści:

Biblioteka Nauki

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