Bayes Inference in Constant Partially Accelerated Life Tests for the Generalized Exponential Distribution with Progressive Censoring

Autor:	H. M. Moustafa, Z. F. Jaheen, G. H. Abd El-Monem
Rok vydání:	2014
Předmět:	Statistics and Probability Bayes' theorem Bayes estimator Exponential distribution Distribution (mathematics) Monte Carlo method Statistics Applied mathematics Inference Constant (mathematics) Censoring (statistics) Mathematics
Zdroj:	Communications in Statistics - Theory and Methods. 43:2973-2988
ISSN:	1532-415X 0361-0926
DOI:	10.1080/03610926.2012.687068
Popis:	In this paper, the problem of constant partially accelerated life tests when the lifetime follows the generalized exponential distribution is considered. Based on progressive type-II censoring scheme, the maximum likelihood and Bayes methods of estimation are used for estimating the distribution parameters and acceleration factor. A Monte Carlo simulation study is carried out to examine the performance of the obtained estimates.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::85a296ba6713a9730c6f9e6436d3d1fc https://doi.org/10.1080/03610926.2012.687068 Zobrazit plný text záznamu