Bootstrap prediction intervals for the Birnbaum-Saunders distribution

NCUIR > School of Management at National Central University > Graduate Institute of Business Administration > journal & Dissertation > Item 987654321/29616

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/29616

Title:	Bootstrap prediction intervals for the Birnbaum-Saunders distribution
Authors:	Lu,MC;Chang,DS
Contributors:	企業管理研究所
Keywords:	BOUNDS
Date:	1997
Issue Date:	2010-06-29 20:33:07 (UTC+8)
Publisher:	中央大學
Abstract:	The Birnbaum-Saunders distribution has been recognized as a versatile failure time model. However, it is not widely used in process control as some of its important characteristics have not been obtained. In this paper, we utilize the bootstrap method to construct a prediction interval for future observations from a Birnbaum-Saunders distribution. Monte Carlo simulations are carried out to evaluate the performance of the proposed procedure. The results reveal that the bootstrap intervals are satisfied with desired coverage probabilities and average lengths as sample size n is at least 30. (C) 1997 Elsevier Science Ltd.
Relation:	MICROELECTRONICS RELIABILITY
Appears in Collections:	[Graduate Institute of Business Administration] journal & Dissertation

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