Exponentiated Generalized Inverse Flexible Weibull Distribution: Bayesian and Non-Bayesian Estimation Under Complete and Type II Censored Samples with Applications

被引：0
作者：
M. El-Morshedy
M. S. Eliwa
A. El-Gohary
Ehab M. Almetwally
R. EL-Desokey
机构：
[1] Prince Sattam Bin Abdulaziz University,Department of Mathematics, College of Science and Humanities in Al
[2] Mansoura University,Kharj
[3] Delta University of Science and Technology,Department of Mathematics, Faculty of Science
[4] Cairo University,Faculty of Business Administration
来源：
Communications in Mathematics and Statistics | 2022年 / 10卷
关键词：
Weibull distribution; Hazard rate function; Maximum likelihood estimation; Maximum product spacing estimation; Bayesian estimation; Censored samples; Simulation; 60E05; 62E10; 62N05;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, a new 4-parameter exponentiated generalized inverse flexible Weibull distribution is proposed. Some of its statistical properties are studied. The aim of this paper is to estimate the model parameters via several approaches, namely, maximum likelihood, maximum product spacing and Bayesian. According to Bayesian approach, several techniques are used to get the Bayesian estimators, namely, standard error function, Linex loss function and entropy loss function. The estimation herein is based on complete and censored samples. Markov Chain Monte Carlo simulation is used to discuss the behavior of the estimators for each approach. Finally, two real data sets are analyzed to obtain the flexibility of the proposed model.
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页码：413 / 434
页数：21
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