Empirical Bayes estimators of reliability performances using LINEX loss under progressively Type-II censored samples

Autor:	Jieqiong Wei, Xiuchun Li, Yimin Shi, Jian Chai
Rok vydání:	2007
Předmět:	Error loss Numerical Analysis Bayes' theorem Bayes estimator General Computer Science Applied Mathematics Modeling and Simulation Maximum likelihood Statistics Estimator Reliability (statistics) Theoretical Computer Science Mathematics
Zdroj:	Mathematics and Computers in Simulation. 73:320-326
ISSN:	0378-4754
DOI:	10.1016/j.matcom.2006.05.002
Popis:	Based on progressively Type-II censored samples, the empirical estimators of reliability performances for Burr XII distribution are researched under LINEX error loss. Firstly, we obtain the Bayes estimators of the reliability performances. Secondly, different from the predecessor, the empirical Bayes estimators of the reliability performances are derived where hyper-parameter is estimated using maximum likelihood method. In the end, in order to investigate the accuracy of estimations, an illustrative example is examined numerically by means of Monte-Carlo simulation.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b8d3d01a73aa94c082be9dfbc06fefc6 https://doi.org/10.1016/j.matcom.2006.05.002 Zobrazit plný text záznamu Full Text from ScienceDirect