Estimating the parameters of a bathtub-shaped distribution under progressive type-II censoring

淡江大學機構典藏 > 商管學院 > 統計學系暨研究所 > 期刊論文 > Item 987654321/80742

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题名:	Estimating the parameters of a bathtub-shaped distribution under progressive type-II censoring
作者:	Rastogi, M. K.;Tripathi, Y. M.;Wu, Shuo-Jye
贡献者:	淡江大學統計學系
关键词:	Bayes estimator;hazard function;Lindley approximation method;maximum likelihood method;reliability function
日期:	2012-08
上传时间:	2013-03-04 12:10:16 (UTC+8)
出版者:	London: Routledge
摘要:	We consider the problem of estimating unknown parameters, reliability function and hazard function of a two parameter bathtub-shaped distribution on the basis of progressive type-II censored sample. The maximum likelihood estimators and Bayes estimators are derived for two unknown parameters, reliability function and hazard function. The Bayes estimators are obtained against squared error, LINEX and entropy loss functions. Also, using the Lindley approximation method we have obtained approximate Bayes estimators against these loss functions. Some numerical comparisons are made among various proposed estimators in terms of their mean square error values and some specific recommendations are given. Finally, two data sets are analyzed to illustrate the proposed methods.
關聯:	Journal of Applied Statistics 39(11), pp.2389-2411
DOI:	10.1080/02664763.2012.710899
显示于类别:	[統計學系暨研究所] 期刊論文

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