Results 11 to 20 of about 39,628 (252)
Modified Maximum Likelihood Estimation of the Inverse Weibull Model
Axioms, 2023 The inverse Weibull model is a simple and flexible model used for survival analysis, reliability theory, and other scientific fields. The main problem in this context is the estimation of the model parameters.
Mohamed Kayid, Mashael A. Alshehri
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Journal 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
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Statistica, 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
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Maximum Lq-likelihood estimation
The Annals of Statistics, 2010 In this paper, the maximum L$q$-likelihood estimator (ML$q$E), a new parameter estimator based on nonextensive entropy [Kibernetika 3 (1967) 30--35] is introduced. The properties of the ML$q$E are studied via asymptotic analysis and computer simulations.
Ferrari, Davide, Yang, Yuhong
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Mean square convergence rates for maximum quasi-likelihood estimator
Stochastic 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
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A Comparison Between the Bayesian and the Classical Estimators of Weibull Distribution
Journal 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
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Estimation of Reliability Function for Complete Data - Article Review [PDF]
المجلة 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
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Improving the Efficiency of Robust Estimators for the Generalized Linear Model
Stats, 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
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Statistical 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
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Most Likely Maximum Entropy for Population Analysis with Region-Censored Data
Entropy, 2015 The paper proposes a new non-parametric density estimator from region-censored observations with application in the context of population studies, where standard maximum likelihood is affected by over-fitting and non-uniqueness problems.
Youssef Bennani +2 more
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