Bayesian estimation for generalized exponential distribution based on progressive type-I interval censoring

被引:0
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作者
Xiu-yun Peng
Zai-zai Yan
机构
[1] Inner Mongolia University of Technology,Science College
关键词
Bayesian inference; Lindley’s approximation; Monte Carlo method; 62F15; 62F10; 62F99;
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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.
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页码:391 / 402
页数:11
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