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
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
收藏
页码:391 / 402
页数:12
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