Bayes Estimators of Exponential Parameters from a Censored Sample Using a Guessed Estimate

Data Science Journal

S.K. Upadhyay¹  S.K. Singh¹  Umesh Singh¹  G.P. Singh² 

[1] Department of Statistics, C.I.M.S., B.H.U.;Department of Community Medicine, I.M.S., B.H.U.

关键词: Real-time database systems;    Visualization;    Concurency control;    Algorithms;   

DOI  :  10.2481/dsj.7.106

学科分类：计算机科学（综合）

来源: Ubiquity Press Ltd.

【 摘 要 】

References(11)This paper provides the Bayes estimators of the failure rate and reliability function for a one-parameter, exponential distribution by utilizing a point guess estimate of the parameter. For deriving the Bayes estimators, the prior distributions are chosen such that they are centered at the known prior values of parameters. The validity of proposed estimators is examined with respect to their maximum likelihood estimators (MLE) and Thompson's Shrinkage estimator on the basis of Monte Carlo simulations of 1000 samples.

【 授权许可】

Unknown