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Wyświetlanie 1-15 z 130
Tytuł:
Robust m-estimator of parameters in variance components model
Autorzy:
Zmyślony, Roman
Zontek, Stefan
Powiązania:
https://bibliotekanauki.pl/articles/729842.pdf
Data publikacji:
2002
Wydawca:
Uniwersytet Zielonogórski. Wydział Matematyki, Informatyki i Ekonometrii
Tematy:
Robust estimator
maximum likelihood estimator
statistical functional
Fisher consistency
Fréchet differentiability
Opis:
It is shown that a method of robust estimation in a two way crossed classification mixed model, recently proposed by Bednarski and Zontek (1996), can be extended to a more general case of variance components model with commutative a covariance matrices.
Źródło:
Discussiones Mathematicae Probability and Statistics; 2002, 22, 1-2; 61-71
1509-9423
Pojawia się w:
Discussiones Mathematicae Probability and Statistics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
On Parameter Estimation of Some Longitudinal Model
O estymacji parametrów pewnego modelu dla danych wielookresowych
Autorzy:
Żądło, Tomasz
Powiązania:
https://bibliotekanauki.pl/articles/905660.pdf
Data publikacji:
2013
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
longitudinal data
restricted maximum likelihood
MSE
Opis:
The problem of modeling longitudinal profiles is considered assuming that the population and elements’ affiliation to subpopulations may change in time. Some longitudinal model which is a special case of the general linear model (GLM) and the general linear mixed model (GLMM) is studied. In the model two random components are included under assumptions of simultaneous spatial autoregressive process (SAR) and temporal first-order autoregressive process (AR(1)) respectively. The accuracy of model parameters’ restricted maximum likelihood estimators is considered in the simulation.
Rozważany jest problem modelowania profili wielookresowych zakładając, że populacja i przynależność elementów domen mogą zmieniać się w czasie. Proponowany model jest przypadkiem szczególnym ogólnego modelu liniowego i ogólnego mieszanego modelu liniowego. W modelu tym uwzględniono dwa wektory składników losowych spełniające odpowiednio założenia przestrzennego modelu autoregresyjnego i modelu autoregresyjnego rzędu pierwszego w czasie. W symulacji rozważano dokładność estymatorów parametrów modelu uzyskanych metodą największej wiarygodności z ograniczeniami.
Źródło:
Acta Universitatis Lodziensis. Folia Oeconomica; 2013, 285
0208-6018
2353-7663
Pojawia się w:
Acta Universitatis Lodziensis. Folia Oeconomica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Quantifying soil hydraulic properties and their uncertainties by modified GLUE method
Autorzy:
Yan, Yifan
Liu, Jianli
Zhang, Jiabao
Zhao, Yongchao
Xiaopeng, Li
Powiązania:
https://bibliotekanauki.pl/articles/973010.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Instytut Agrofizyki PAN
Tematy:
soil hydraulic properties
uncertainty
generalized likelihood uncertainty estimation
evaporation experiment
Opis:
Nonlinear least squares algorithm is commonly used to fit the evaporation experiment data and to obtain the ‘optimal’ soil hydraulic model parameters. But the major defects of nonlinear least squares algorithm include non-uniqueness of the solution to inverse problems and its inability to quantify uncertainties associated with the simulation model. In this study, it is clarified by applying retention curve and a modified generalised likelihood uncertainty estimation method to model calibration. Results show that nonlinear least squares gives good fits to soil water retention curve and unsaturated water conductivity based on data observed by Wind method. And meanwhile, the application of generalised likelihood uncertainty estimation clearly demonstrates that a much wider range of parameters can fit the observations well. Using the ‘optimal’ solution to predict soil water content and conductivity is very risky. Whereas, 95% confidence interval generated by generalised likelihood uncertainty estimation quantifies well the uncertainty of the observed data. With a decrease of water content, the maximum of nash and sutcliffe value generated by generalised likelihood uncertainty estimation performs better and better than the counterpart of nonlinear least squares. 95% confidence interval quantifies well the uncertainties and provides preliminary sensitivities of parameters.
Źródło:
International Agrophysics; 2017, 31, 3; 433-445
0236-8722
Pojawia się w:
International Agrophysics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The role of the origin (automatic vs. reflective) of affective state for the effectiveness of persuasion based on strong vs. weak arguments
Autorzy:
Walkowiak, Magdalena T.
Imbir, Kamil K.
Powiązania:
https://bibliotekanauki.pl/articles/2127064.pdf
Data publikacji:
2019-04-08
Wydawca:
Katolicki Uniwersytet Lubelski Jana Pawła II. Towarzystwo Naukowe KUL
Tematy:
Elaboration Likelihood Model
persuasion
Emotion Duality Model
reflective emotions
automatic emotions
information processing
Opis:
Previous research has focused on the influence of emotional valence on the effectiveness of per-suasion via the central route or the peripheral route. The purpose of this study was to answer the question of whether other dimensions of emotion, such as the origin of emotional charge (auto-matic vs. reflective) may also influence the effectiveness of persuasion. It was expected that reflective emotions would increase susceptibility to strong arguments, while automatic emotions would result in a lack of sensitivity to the quality of arguments. Emotional words of proven emotional quality were used to elicit affective states. They were chosen in order to contrast the different levels of emotional valence (negative, neutral, and positive) and the origin of emotion (automatic and reflective). It turned out that in the case of reflective conditions, a significantly higher effectiveness of persuasion was observed for strong arguments than for weak ones. In the case of automatic conditions, there was no difference in the effectiveness of persuasion depending on the quality of the arguments. There were also no differences related to emotional valence; however, the manipulation of affective states on emotional valence dimension turned out not to be effective. This suggests that the origin of emotion can be considered a factor influencing processing via the central or peripheral route to persuasion.
Źródło:
Roczniki Psychologiczne; 2018, 21, 1; 9-33
1507-7888
Pojawia się w:
Roczniki Psychologiczne
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Calibration of a rorating 2D laser range - finder using point - plane coistraints
Autorzy:
Wai Yan So, E.
Basso, F.
Menegatti, E.
Powiązania:
https://bibliotekanauki.pl/articles/384918.pdf
Data publikacji:
2013
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
laser range finder
extrinsic calibration
pointplane
constraints
minimal conditions
maximum likelihood
estimate
Opis:
A common method used to obtain 3D range data with a 2D laser range finder is to rotate the sensor. To combine the 2D range data obtained at different rotation angles into a common 3D coordinate frame, the axis of rotation relative to the mirror center of the laser range finder should be known. This axis of rotation is a line in 3D space with four degrees of freedom. This paper describes a method for recovering the parameters of this rotational axis, as well as the extrinsic calibration between the rota tional axis and a camera. It simply requires scanning several planar checkerboard patterns that are also imaged by a static camera. In particular, we use only correspondences between lines in the laser scans and planes in the camera images, which can be established easily even for non-visible lasers. Furthermore, we show that such line-on-plane correspondences can be modelled as pointplane constraints, a problem studied in the field of robot kinematics. We use a numerical solution developed for such point-plane constraint problems to obtain an initial estimate, which is then refined by a nonlinear minimiza- tion that minimizes the ,,line-of-sight" errors in the laser scans and the reprojection errors in the camera image. To validate our proposed method, we give experimental results using a LMS-100 mounted on a pan-tilt device in a nodding configuration.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2013, 7, 2; 30-38
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimal Method for Polarization Selection of Stationary Objects Against the Background of the Earth’s Surface
Autorzy:
Volosyuk, Valerii
Zhyla, Simeon
Pavlikov, Vladimir
Ruzhentsev, Nikolay
Tserne, Eduard
Popov, Anatoliy
Shmatko, Oleksandr
Dergachov, Kostiantyn
Havrylenko, Olena
Ostroumov, Ivan
Kuzmenko, Nataliia
Sushchenko, Olga
Averyanova, Yuliya
Zaliskyi, Maksym
Solomentsev, Oleksandr
Kuznetsov, Borys
Nikitina, Tatyana
Powiązania:
https://bibliotekanauki.pl/articles/2055248.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
polarimetric radar
polarization selection
power lines detection
multichannel processing
maximum likelihood method
Opis:
Within the maximum likelihood method an optimal algorithm for polarization target selection against the background of interfering signal reflected from the earth’s surface is synthesized. The algorithm contains joint operations of spectral interference rejection and their polarization compensation by means of certain combinations of interchannel subtraction of signals of different polarizations. The physical features of the elements of the polarization scattering matrix are investigated for the technical implementation of the synthesized algorithm.
Źródło:
International Journal of Electronics and Telecommunications; 2022, 68, 1; 83--89
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Bayesian estimation of fertility rates under imperfect age reporting
Autorzy:
Verma, Vivek
Nath, Dilip C.
Dwivedi, S. N.
Powiązania:
https://bibliotekanauki.pl/articles/14761323.pdf
Data publikacji:
2023-03-15
Wydawca:
Główny Urząd Statystyczny
Tematy:
Fisher information
square error loss function
age-specific marital fertility rate
Bayes estimator
maximum likelihood principle
Opis:
This article outlines the application of the Bayesian method of parameter estimation to situations where the probability of age misreporting is high, leading to transfers of an individual from one age group to another. An essential requirement for Bayesian estimation is prior distribution, derived for both perfect and imperfect age reporting. As an alternative to the Bayesian methodology, a classical estimator based on the maximum likelihood principle has also been discussed. Here, the age misreporting probability matrix has been constructed using a performance indicator, which incorporates the relative performance of estimators based on age when reported correctly instead of misreporting. The initial guess of performance indicators can either be empirically or theoretically derived. The method has been illustrated by using data on Empowered Action Group (EAG) states of India from National Family Health Survey-3 (2005-2006) to estimate the total marital fertility rates. The present study reveals through both a simulation and real-life set-up that the Bayesian estimation method has been more promising and reliable in estimating fertility rates, even in situations where age misreporting is higher than in case of classical maximum likelihood estimates.
Źródło:
Statistics in Transition new series; 2023, 24, 2; 39-57
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Predicting Basal Area Using Java Program in Akinyele Local Government Area, Ibadan, Oyo State, Nigeria
Autorzy:
Ureigho, U. N.
Osho, J. S. A.
Powiązania:
https://bibliotekanauki.pl/articles/1113848.pdf
Data publikacji:
2017
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:
Basal area
Java program
maximum likelihood
prediction
trees
Opis:
Individual tree growth models are important decision-making tools in forestry. This study evaluated the predictive ability for basal area, of a Java program derived from the algorithm of gamma distribution function. The input value was diameter at breast height. In generating and testing the program, a stratified random sampling technique was used to select four different age classes of teak plantation, namely: 11, 13, 22 and 59 years-old, respectively. Complete enumeration of trees (n = 433) was done for all the plots selected. Diameter at breast height (DBH) was measured with the aid of diameter girth tape, which was also used for basal area computation. Data obtained were processed into tree and stand levels. Parameters α and β for Gamma Distribution function (GDF) were estimated from growth data. The java program was then written based on the algorithm of Gamma distribution function for α, β and n parameters. Values of diameter at breast height fitted into the Java program shows that it was able to predict the basal area. Therefore, the predictive ability of the developed Java Program for basal area of individual and full stand teak trees demonstrates that it can be used for prediction of yield in forest stands.
Źródło:
World News of Natural Sciences; 2017, 13; 122-129
2543-5426
Pojawia się w:
World News of Natural Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modeling and identification of actuator for flap deflection
Autorzy:
Ulinowicz, M.
Narkiewicz, J.
Powiązania:
https://bibliotekanauki.pl/articles/384620.pdf
Data publikacji:
2011
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
electromechanical actuator
system identification
maximum likelihood method
Opis:
The electromechanical actuator (EMA) model is presented with the methods for identifying its design parameters. The actuator is a part of the system for flap deployment on the commercial transport airplane. The differential equations with the feedback control describe behaviour of the actuator deflection. There are two concepts of drive system simultaneously considered: a high torque/low speed (HT/LS) and a geared low torque/high speed (LT/HS). For parameter identification in both cases the Maximum Likelihood (ML) method with two minimisation algorithms: linearized Gauss-Newton and Levenberg-Marquardt is applied. Both approaches for each of two design solutions were effective, while tested on hypothetical data.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2011, 5, 4; 35-40
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
GARCH(1,1) models with stable residuals
Autorzy:
Trusz, M.
Tserakh, U.
Powiązania:
https://bibliotekanauki.pl/articles/92862.pdf
Data publikacji:
2018
Wydawca:
Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
Tematy:
GARCH model
stable distributions
tempered stable distribution
maximum likelihood method
Opis:
The focus of this paper is the use of stable distributions for GARCH models. Such models are applied for the analysis of financial and economic time series, which have several special properties: volatility clustering, heavy tails and asymmetry of residuals distributions. Below we compare the properties of stable and tempered stable distributions and describe methodologies for constructing models and subsequent estimation of parameters using the maximum likelihood method. We also analyze an example of building models on real data in order to illustrate that tempered stable distributions could be used in financial time series models. Moreover, such distributions can show better results in comparison with traditionally used distributions.
Źródło:
Studia Informatica : systems and information technology; 2018, 1-2(22); 47-57
1731-2264
Pojawia się w:
Studia Informatica : systems and information technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Bayes algorithm for model compatibility and comparison of ARMA( p; q) models
Autorzy:
Tripathi, Praveen Kumar
Sen, Rijji
Upadhyay, S. K.
Powiązania:
https://bibliotekanauki.pl/articles/1054568.pdf
Data publikacji:
2021-06-04
Wydawca:
Główny Urząd Statystyczny
Tematy:
ARMA model
exact likelihood
Gibbs sampler
Metropolis algorithm
posterior predictive loss
model compatibility
Ljung-Box-Pierce statistic
GDP growth rate
Opis:
The paper presents a Bayes analysis of an autoregressive-moving average model and its components based on exact likelihood and weak priors for the parameters where the priors are defined so that they incorporate stationarity and invertibility restrictions naturally. A Gibbs- Metropolis hybrid scheme is used to draw posterior-based inferences for the models under consideration. The compatibility of the models with the data is examined using the Ljung- Box-Pierce chi-square-based statistic. The paper also compares different compatible models through the posterior predictive loss criterion in order to recommend the most appropriate one. For a numerical illustration of the above, data on the Indian gross domestic product growth rate at constant prices are considered. Differencing the data once prior to conducting the analysis ensured their stationarity. Retrospective short-term predictions of the data are provided based on the final recommended model. The considered methodology is expected to offer an easy and precise method for economic data analysis.
Źródło:
Statistics in Transition new series; 2021, 22, 2; 95-123
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Frequency magnitude distribution and spatial correlation dimension of earthquakes in north-east Himalaya and adjacent regions
Autorzy:
Tiwari, Ram Krishna
Paudyal, Harihar
Powiązania:
https://bibliotekanauki.pl/articles/2204361.pdf
Data publikacji:
2022
Wydawca:
Uniwersytet im. Adama Mickiewicza w Poznaniu
Tematy:
north-east India
b value
maximum likelihood estimation
correlation dimension
Indie północno-wschodnie
parametr b
największa wiarygodność
estymacja
wymiar korelacyjny
Opis:
The north-east sector of the Himalaya is one of the most active tectonic belts, with complex geological and tectonic features. The b-value and spatial correlation dimension (Dc) of earthquake distribution in the north-east Himalaya and its adjacent regions (20–32°N and 88–98°E) are estimated in the present study. Based on seismicity and faulting pattern, the region is divided into five active regions, namely the (i) South-Tibet, (ii) Eastern-Syntaxis, (iii) Himalayan-Frontal Arc, (iv) Arakan-Yoma belt and (v) Shillong-Plateau. A homogeneous catalogue of 1,416 earthquakes (mb ≥ 4.5) has been prepared from a revised catalogue of the ISC (International Seismological Centre). The b-value has been appraised by the maximum likelihood estimation method, while Dc values have been calculated by the correlation integral meth-od; b-values of 1.08 ± 0.09, 1.13 ± 0.05, 0.92 ± 0.05, 1.00 ± 0.03 and 0.98 ± 0.08 have been computed for the South-Tibet, Eastern-Syntaxis, Himalayan-Frontal Arc, Arakan-Yoma belt and Shillong-Plateau region, respectively. The Dc values computed for the respective regions are 1.36 ± 0.02, 1.74 ± 0.04, 1.57 ± 0.01, 1.8 ± 0.01, and 1.83 ± 0.02. These values are > 1.5, except for the South-Tibet (1.36 ± 0.02). The b-values around the global average value (1.0) reflect the stress level and seismic activity of the regions, while high Dc values refer to the heterogeneity of the seismogenic sources.
Źródło:
Geologos; 2022, 28, 2; 115--128
1426-8981
2080-6574
Pojawia się w:
Geologos
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A comparison study on a new five-parameter generalized Lindley distribution with its sub-models
Autorzy:
Tharshan, Ramajeyam
Wijekoon, Pushpakanthie
Powiązania:
https://bibliotekanauki.pl/articles/1363562.pdf
Data publikacji:
2020-06-05
Wydawca:
Główny Urząd Statystyczny
Tematy:
Lindley distribution
mixture distributions
size-biased distributions
maximum likelihood estimation
Opis:
In recent years, modifications of the classical Lindley distribution have been considered by many authors. In this paper, we introduce a new generalization of the Lindley distribution based on a mixture of exponential and gamma distributions with different mixing proportions and compare its performance with its sub-models. The new distribution accommodates the classical Lindley, Quasi Lindley, Two-parameter Lindley, Shanker, Lindley distribution with location parameter, and Three-parameter Lindley distributions as special cases. Various structural properties of the new distribution are discussed and the size-biased and the lengthbiased are derived. A simulation study is conducted to examine the mean square error for the parameters by means of the method of maximum likelihood. Finally, simulation studies and some real-world data sets are used to illustrate its flexibility in terms of its location, scale and shape parameters.
Źródło:
Statistics in Transition new series; 2020, 21, 2; 89-117
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Zero-modified Poisson-Modification of Quasi Lindley distribution and its application
Autorzy:
Tharshan, Ramajeyam
Wijekoon, Pushpakanthie
Powiązania:
https://bibliotekanauki.pl/articles/2156994.pdf
Data publikacji:
2022-12-15
Wydawca:
Główny Urząd Statystyczny
Tematy:
over-dispersion
mixed Poisson distribution
PMQL distribution
zero modification
maximum likelihood estimation
Opis:
The Poisson-Modification of Quasi Lindley (PMQL) distribution is a newly introduced mixed Poisson distribution for over-dispersed count data. The aim of this article is to introduce the Zero-modified PMQL (ZMPMQL) distribution as an alternative to the PMQL distribution in order to accommodate zero inflation/deflation. The method of obtaining the ZMPMQL distribution jointly with some of its important properties, namely the probability mass and distribution functions, mean, variance, index of dispersion, and quantile function are presented. Furthermore, some of its special cases are discussed. The maximum likelihood (ML) estimation method is used for the unknown parameter estimation. A simulation study is conducted in order to evaluate the asymptotic theory of the ML estimation method and to show the superiority of the ML method over the method of moments estimation. The applicability of the introduced distribution is illustrated by using a real-world data set.
Źródło:
Statistics in Transition new series; 2022, 23, 4; 113-128
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Assessment of Approaches for the Extraction of Building Footprints from Pléiades Images
Autorzy:
Taha, Lamyaa Gamal El-deen
Ibrahim, Rania Elsayed
Powiązania:
https://bibliotekanauki.pl/articles/1837996.pdf
Data publikacji:
2021
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
ensemble classifiers
machine learning
random forest
maximum likelihood
support vector machines
backpropagation
image classification
Opis:
The Marina area represents an official new gateway of entry to Egypt and the development of infrastructure is proceeding rapidly in this region. The objective of this research is to obtain building data by means of automated extraction from Pléiades satellite images. This is due to the need for efficient mapping and updating of geodatabases for urban planning and touristic development. It compares the performance of random forest algorithm to other classifiers like maximum likelihood, support vector machines, and backpropagation neural networks over the well-organized buildings which appeared in the satellite images. Images were subsequently classified into two classes: buildings and non-buildings. In addition, basic morphological operations such as opening and closing were used to enhance the smoothness and connectedness of the classified imagery. The overall accuracy for random forest, maximum likelihood, support vector machines, and backpropagation were 97%, 95%, 93% and 92% respectively. It was found that random forest was the best option, followed by maximum likelihood, while the least effective was the backpropagation neural network. The completeness and correctness of the detected buildings were evaluated. Experiments confirmed that the four classification methods can effectively and accurately detect 100% of buildings from very high-resolution images. It is encouraged to use machine learning algorithms for object detection and extraction from very high-resolution images.
Źródło:
Geomatics and Environmental Engineering; 2021, 15, 4; 101-116
1898-1135
Pojawia się w:
Geomatics and Environmental Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 130

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