Results 21 to 30 of about 41,346 (266)

Bayesian Estimation of the Scale Parameter of the Marshall-Olkin Exponential Distribution under Progressively Type-II Censored Samples

open access: yesJournal of Statistical Theory and Applications (JSTA), 2018
This paper studies the Bayes estimator, the maximum likelihood estimator and the approximate likelihood estimator of the scale parameter for the Marshall-Olkin exponential distribution under the progressive type-II censored sample.
Mukhtar M. Salah
doaj   +1 more source

The Density of the Maximum Likelihood Estimator

open access: yesEconometrica, 1999
In this paper we derive an expression for the exact density of the maximum likelihood estimator (MLE) in the case where the MLE is uniquely defined at each point in the sample space by the vanishing of the score vector.
Hillier, G, Armstrong, M
openaire   +2 more sources

Minimax Estimation of the Mean Matrix of the Matrix Variate Normal Distribution under the Divergence Loss Function

open access: yesStatistica, 2018
The problem of estimating the mean matrix of a matrix-variate normal distribution with a covariance matrix is considered under two loss functions. We construct a class of empirical Bayes estimators which are better than the maximum likelihood estimator ...
Shokofeh Zinodiny   +2 more
doaj   +1 more source

Mean square convergence rates for maximum quasi-likelihood estimator

open access: yesStochastic Systems, 2015
In this note we study the behavior of maximum quasilikelihood estimators (MQLEs) for a class of statistical models, in which only knowledge about the first two moments of the response variable is assumed.
Arnoud V. den Boer, Bert Zwart
doaj   +1 more source

A Comparison Between the Bayesian and the Classical Estimators of Weibull Distribution

open access: yesJournal of Kufa for Mathematics and Computer, 2013
In this paper ,we study estimation of two parameters of Weibull distribution .Methods of estimation used are maximum likelihood estimator (MLE) and Bayes. We compared the numerical results by simulation in MATLAB program.
Fadhil abdulabaas Alabadee   +2 more
doaj   +1 more source

Estimation of Reliability Function for Complete Data - Article Review [PDF]

open access: yesالمجلة العراقية للعلوم الاحصائية, 2019
The theory of reliability is one of the important theories that is attracting great interest in many researchers at present because of its importance in various fields of life especially in determining the age of a particular device and its efficiency ...
Shaimaa Waleed
doaj   +1 more source

Improving the Efficiency of Robust Estimators for the Generalized Linear Model

open access: yesStats, 2021
The distance constrained maximum likelihood procedure (DCML) optimally combines a robust estimator with the maximum likelihood estimator with the purpose of improving its small sample efficiency while preserving a good robustness level.
Alfio Marazzi
doaj   +1 more source

A New Estimator to Combat Multicollinearity in Logistic Regression Model [PDF]

open access: yesالمجلة العلمية للدراسات والبحوث المالية والإدارية
This paper proposes a new estimator based on the singular value decomposition technique of the design matrix to remedy multicollinearity in the binary logistic model.
Prof. Dr. Monira Ahmed Hussein   +1 more
doaj   +1 more source

Maximum Likelihood Estimation of Position in GNSS [PDF]

open access: yesIEEE Signal Processing Letters, 2007
In this letter, we obtain the Maximum Likelihood Estimator of position in the framework of Global Navigation Satellite Systems. This theoretical result is the basis of a completely different approach to the positioning problem, in contrast to the conventional two-steps position estimation, consisting of estimating the synchronization parameters of the ...
Pau Closas   +2 more
openaire   +2 more sources

Empirical likelihood inference and goodness-of-fit test for logistic regression model under two-phase case-control sampling

open access: yesStatistical Theory and Related Fields, 2022
Due to cost-effectiveness and high efficiency, two-phase case-control sampling has been widely used in epidemiology studies. We develop a semi-parametric empirical likelihood approach to two-phase case-control data under the logistic regression model. We
Zhen Sheng, Yukun Liu, Jing Qin
doaj   +1 more source

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