Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "linear regression" wg kryterium: Wszystkie pola

  Lista filtrów
Wyrównaj
Wyświetlanie 1-15 z 216
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
Artykuł
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
Artykuł
Tytuł:
Efficient two-parameter estimator in linear regression model
Autorzy:
Dorugade, Ashok V.
Powiązania:
https://bibliotekanauki.pl/articles/1194454.pdf
Data publikacji:
2019-07-02
Wydawca:
Główny Urząd Statystyczny
Tematy:
multicollinearity
ridge regression
two-parameter estimator
mean squared error
Opis:
In this article, two-parameter estimators in linear model with multicollinearity are considered. An alternative efficient two-parameter estimator is proposed and its properties are examined. Furthermore, this was compared with the ordinary least squares (OLS) estimator and ordinary ridge regression (ORR) estimators. Also, using the mean squares error criterion the proposed estimator performs more efficiently than OLS estimator, ORR estimator and other reviewed two-parameter estimators. A numerical example and simulation study are finally conducted to illustrate the superiority of the proposed estimator.
Źródło:
Statistics in Transition new series; 2019, 20, 2; 173-185
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Zanurzanie w regresji liniowej
Depth in linear regression
Autorzy:
Kobylińska, Małgorzata
Powiązania:
https://bibliotekanauki.pl/articles/453537.pdf
Data publikacji:
2011
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Katedra Ekonometrii i Statystyki
Tematy:
zanurzanie obserwacji w próbie
funkcja regresji liniowej
depth of the observation in a sample
linear regression function
Opis:
Wprowadzone przez Tukey’a pojecie zanurzania obserwacji w próbach wielowymiarowych stało się narzędziem służącym analizie danych. Dzięki wykorzystaniu miary zanurzania obserwacji w próbie przezwycięża się trudności związane z porządkowaniem obserwacji wielowymiarowych. Pojęcie zanurzania danych było intensywnie rozwijane przez wielu badaczy z punktu jego przydatności do opisu statystycznego danych jedno i wielowymiarowych W literaturze przedmiotu spotkać można różne kryteria oraz metody wyznaczania miary zanurzania obserwacji w próbie. W pracy podano określenie zanurzenia obserwacji w próbie oraz pojęcia z nim związane. Przedstawiono wykorzystanie zanurzania w regresji liniowej dla przypadku dwuwymiarowego.
The notion of observation depth in multidimensional samples introduced by Tukey has become a new tool for data analysis. Applying the measure of observation depth in the sample the difficulties related to organisation of multidimensional observation are overcome. The notion of data depth has been developed extensively by many researchers from the perspective of its suitability for statistical description of singledimensional and multidimensional data. In the subject literature different criteria and methods for determining the observation depth in the sample can be found. The paper presents the definition of the observation depth in the sample and the related notions. The application of depth in linear regression for a two-dimensional case was presented.
Źródło:
Metody Ilościowe w Badaniach Ekonomicznych; 2011, 12, 2; 202-209
2082-792X
Pojawia się w:
Metody Ilościowe w Badaniach Ekonomicznych
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
On-line signature recognition method based on linear regression
Autorzy:
Para, T.
Porwik, P.
Wróbel, K.
Powiązania:
https://bibliotekanauki.pl/articles/333740.pdf
Data publikacji:
2007
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
rozpoznawanie podpisu
metoda DTW
regresja liniowa
signature recognition
DTW method
linear regression method
Opis:
Nowadays, automatic signature verification is an active area of researches in numerous applications such as bank check verification, access restriction or special areas such as police investigations. In our researches signature was captured by Topaz SigLite T-LBK750-HSB device, where some dynamic features of signature can be also registered. In many transactions, the electronic verification of a person's identity is beneficial, hence it inspires the development of a wide range of automatic identification systems. In this paper the system that automatically authenticates documents based on the owner's handwritten signature is presented.
Źródło:
Journal of Medical Informatics & Technologies; 2007, 11; 97-104
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Bootstrap Distribution of OLS-Estimators for Linear Regression Models
Autorzy:
Pruska, Krystyna
Powiązania:
https://bibliotekanauki.pl/articles/658590.pdf
Data publikacji:
2000
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Opis:
The bootstraps methods can be widely applied in statistical research. In the paper the bootstraps OLS-estimators for linear models are considered. The results of simulation experiments for linear models with errors which have normal, Student and uniform distribution are presented. The estimates and the histograms for OLS-estimators are determined.
Źródło:
Acta Universitatis Lodziensis. Folia Oeconomica; 2000, 152
0208-6018
2353-7663
Pojawia się w:
Acta Universitatis Lodziensis. Folia Oeconomica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Ensembling a linear regression model with an error mitigation component
Autorzy:
Nowosielski, A.
Kowalski, P. A.
Kulczycki, P.
Powiązania:
https://bibliotekanauki.pl/articles/950759.pdf
Data publikacji:
2018
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
ensemble model
error mitigation
regression model
linear regression
FPA
RSS
RSE
model regresji
regresja liniowa
Opis:
This paper presents a proposal of a model error mitigation technique based on the error distribution analysis of the original model and creatng the additional model that tempers the error impact in particular domain areas identified as the most sensitive. both models are then combined into single ensemble model. The idea is demonstrated on the trivial two-dimensional linear regression model.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2018, 12, 1; 40-43
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Locally Regularized Linear Regression in the Valuation of Real Estate
Autorzy:
Kubus, Mariusz
Powiązania:
https://bibliotekanauki.pl/articles/465851.pdf
Data publikacji:
2016
Wydawca:
Główny Urząd Statystyczny
Tematy:
large transactional data
local regression
feature selection
regularization
cross-validation
Opis:
Regression methods are used for the valuation of real estate in the comparative approach. The basis for the valuation is a data set of similar properties, for which sales transactions were concluded within a short period of time. Large and standardized databases, which meet the requirements of the Polish Financial Supervision Authority, are created in Poland and used by the banks involved in mortgage lending, for example. We assume that in the case of large data sets of transactions, it is more advantageous to build local regression models than a global model. Additionally, we propose a local feature selection via regularization. The empirical research carried out on three data sets from real estate market confirmed the effectiveness of this approach. We paid special attention to the model quality assessment using cross-validation for estimation of the residual standard error.
Źródło:
Statistics in Transition new series; 2016, 17, 3; 515-524
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
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
Artykuł
Tytuł:
Implementing GIS and linear regression models to investigate partial building failures
Autorzy:
Merza, Alaa Nuri
Raheem, Aram Mohammed
Naser, Ibrahim Jalal
Ibrahim, Mohammed Omar
Omar, Najat Qader
Powiązania:
https://bibliotekanauki.pl/articles/36072623.pdf
Data publikacji:
2023
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
Tematy:
GIS
IDW technique
crack identification
linear single
multi-regression models
Opis:
One of the most dangerous field problems in the civil engineering discipline is the suddenly developed cracks in the building, which could be caused by the swelling of the subsurface soil. Thus, this work has focused on employing a procedure in the geographic information system known as the inverse distance weighted (IDW) technique, to analyze the extent of cracks in a residential complex in the city of Kirkuk in Iraq using the physical and chemical soil data for seven boreholes from the field of the study. Physical soil parameters such as liquid limit (LL), gravel, sand, silt and clay percentages were characterized first, followed by chemical properties such as gypsum content (GYP), total suspended solids (TSS), potential of hydrogen (pH), and organic content (ORG). Furthermore, statistical studies such as plasticity index (PI) and soil characteristics association, linear single, and various linear multi-regression models were used. The data analysis shows that there are significantly positive and negative relationships between PI as a swelling indicator and the physical and chemical soil properties, although weak to moderate correlations were observed between PI and these variables. The PI values were accurately predicted by the proposed linear multi-regression models of the physical and integrated physical and chemical soil characteristics, with multiple R values of 0.92 for both models. As a result, the suggested statistical models can provide complete geographic and mechanical explanations for the crack sources in the investigated residential complex.
Źródło:
Scientific Review Engineering and Environmental Sciences; 2023, 32, 4; 338-356
1732-9353
Pojawia się w:
Scientific Review Engineering and Environmental Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Study of the admixtures effect on concrete creep using Bayesian Linear Regression
Autorzy:
Zgheib, E.
Raphael, W.
Powiązania:
https://bibliotekanauki.pl/articles/962255.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Eurokod 2
pełzanie betonu
metoda Bayesa
linearyzacja
domieszka
reduktor wody
pył krzemionkowy
Eurocode 2
concrete creep
Bayesian method
linearization
admixture
water reducer
silica fume
Opis:
Admixtures are commonly used nowadays in the mix composition of concrete. These additions affect concrete properties and performance especially creep deformations. This paper shows the effect of admixtures on creep of concrete. In fact, creep deformations have prejudicial consequences on concrete behaviour; an incorrect or inaccurate prediction leads to undesirable consequences in structures. Therefore, an accurate estimation of these deformations is mandatory. Moreover, design codes do not consider admixtures’ effect while predicting creep deformations, thus it is necessary to develop models that predict accurately creep deformations and consider the effect of admixtures. Using a large experimental database coming from international laboratories and research centres, this study aims to update the Eurocode 2 creep model by considering the type and percentage of admixtures using Bayesian Linear Regression method. The effect of two types of admixtures is presented in this paper; the water reducer and silica fume.
Źródło:
Archives of Civil Engineering; 2019, 65, 3; 127-140
1230-2945
Pojawia się w:
Archives of Civil Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Forecasting nitrate concentration in groundwater using artificial neural network and linear regression models
Autorzy:
Zare, A.
Bayat, V.
Daneshkare, A.
Powiązania:
https://bibliotekanauki.pl/articles/25733.pdf
Data publikacji:
2011
Wydawca:
Polska Akademia Nauk. Instytut Agrofizyki PAN
Tematy:
nitrate concentration
ground water
artificial neural network
linear regression model
prediction
regression
Iran
quality index
Źródło:
International Agrophysics; 2011, 25, 2
0236-8722
Pojawia się w:
International Agrophysics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Comparative non-linear regression - case of infiltration rate increase from upstream in valley
Autorzy:
Keita, A.
Yacouba, H.
Hayde, L.G.
Schultz, B.
Powiązania:
https://bibliotekanauki.pl/articles/25502.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Instytut Agrofizyki PAN
Tematy:
drainage
nonlinear regression
infiltration rate
permeability
savannah
flooded valley
soil
Opis:
In Tropical Savannah flooded valley soils, very low infiltration rates often result in acidic conditions favourable to high concentrations of metallic ions, toxic for rice. Determination of the under-phreatic infiltration rate is important in drainage design to reclaim degraded soils. Several studies have addressed the mapping of the infiltration rate. Yet, its relationship with the toposequence of the valley is not clarified. This paper has investi- gated such a possibility, examining the case of the irrigated rice valley of Tiefora, Burkina Faso. Nine boreholes – from 1 to 5 m deep – were implemented from upstream to downstream. The Lefranc permeability test of the under-phreatic level in water- logged soils – used when the impervious layer is close to soil sur- face or absent – was conducted. First, a comparative regression was applied to the data, including all the parameters of the regression curves. In the case of dissimilarity of the infiltration processes, the comparison focused on the final permeability. The results show a permeability increase from upstream (0.10±0.10 cm h -1 ) to down- stream (greater than 20±10 cm h -1 in some places). Taking into account such a permeability increase in the subsurface drainage system design would result in implementation of more efficient and cost effective systems.
Źródło:
International Agrophysics; 2014, 28, 3
0236-8722
Pojawia się w:
International Agrophysics
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 216

Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies