Bayesian Inference for Exponential Lifetime Models Based on Type-II Hybrid Censoring

Journal of Statistical Theory and Applications (JSTA)

关键词: Bayes Estimation;    Credible Interval;    Exponential Distribution;    Hybrid Censored Samples;    Kolmogorov-Smirnov Test;    Squared Error Loss Function;   

DOI  :  10.2991/jsta.2014.13.2.7

来源: DOAJ

【 摘 要 】

This article deals with the problem of estimating the parameters of the two-parameter exponential lifetime distribution based on Type-II hybrid censored samples from the Bayesian viewpoint. The scale and location parameters are assumed to have exponential and uniform priors respectively. Bayes point estimates and credible intervals for the unknown parameters are derived under the assumption of the squared error loss function. A lifetime real dataset is analyzed to motivate and to show the performance of the proposed Bayes estimates based on Type-II hybrid censoring scheme. Various Simulation studies are also provided in this paper to compare the proposed Bayes estimates with the existing classical estimates.

【 授权许可】

Unknown