Bayesian Estimation for Generalized Exponential Distribution Based on Progressive Type-I Interval Censoring

被引：15

作者：

Peng, Xiu-yun ^{[1
]}

Yan, Zai-zai ^{[1
]}

机构：

[1] Inner Mongolia Univ Technol, Coll Sci, Hohhot 010051, Peoples R China

来源：

ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES | 2013年 / 29卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Bayesian inference; Lindley's approximation; Monte Carlo method; WEIBULL-DISTRIBUTION; INFERENCE; PARAMETERS; GAMMA;

D O I：

10.1007/s10255-013-0222-6

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this study, we consider the Bayesian estimation of unknown parameters and reliability function of the generalized exponential distribution based on progressive type-I interval censoring. The Bayesian estimates of parameters and reliability function cannot be obtained as explicit forms by applying squared error loss and Linex loss functions, respectively; thus, we present the Lindley's approximation to discuss these estimations. Then, the Bayesian estimates are compared with the maximum likelihood estimates by using the Monte Carlo simulations.

引用

页码：391 / 402

页数：12

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