Constant Stress Accelerated Life Test on a Multiple-Component Series System under Weibull Lifetime Distributions

Autor:	Tsung Ming Hsu, Tsai Hung Fan
Rok vydání:	2014
Předmět:	Statistics and Probability Mean time between failures Constant stress Bayesian probability Statistics Statistical inference Multiple component Life test Censoring (statistics) Mathematics Weibull distribution
Zdroj:	Communications in Statistics - Theory and Methods. 43:2370-2383
ISSN:	1532-415X 0361-0926
DOI:	10.1080/03610926.2013.809115
Popis:	We will discuss the reliability analysis of the constant stress accelerated life test on a series system connected with multiple components under independent Weibull lifetime distributions whose scale parameters are log-linear in the level of the stress variable. The system lifetimes are collected under Type I censoring but the components that cause the systems to fail may or may not be observed. The data are so called masked for the latter case. Maximum likelihood approach and the Bayesian method are considered when the data are masked. Statistical inference on the estimation of the underlying model parameters as well as the mean time to failure and the reliability function will be addressed. Simulation study for a three-component case shows that Bayesian analysis outperforms the maximum likelihood approach especially when the data are highly masked.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a259ad97f4f60290c23a5fc21cad716b https://doi.org/10.1080/03610926.2013.809115 Zobrazit plný text záznamu