Computational testing algorithmic procedure of assessment for lifetime performance index of products with one-parameter exponential distribution under progressive type I interval censoring

機構典藏 > College of Business and Management > Graduate Institute & Department of Statistics > Journal Article > Item 987654321/104549

Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/104549

Title:	Computational testing algorithmic procedure of assessment for lifetime performance index of products with one-parameter exponential distribution under progressive type I interval censoring
Authors:	Wu, Shu-Fei;Lin, Ying-Po
Keywords:	Censored sample;Exponential distribution;Maximum likelihood estimator;Process capability indices;Testing algorithmic procedure
Date:	2016-02-01
Issue Date:	2016-01-06 11:02:07 (UTC+8)
Publisher:	0378-4754
Abstract:	Process capability indices had been widely used to evaluate the process performance to the continuous improvement of quality and productivity. When the lifetime of products possesses a one-parameter exponential distribution, the larger-the-better lifetime performance index is considered. The maximum likelihood estimator is used to estimate the lifetime performance index based on the progressive type I interval censored sample. The asymptotic distribution of this estimator is also investigated. We use this estimator to develop the new hypothesis testing algorithmic procedure in the condition of known lower specification limit. Finally, two practical examples are given to illustrate the use of this testing algorithmic procedure to determine whether the process is capable.
Relation:	Mathematics and Computers in Simulation 120, p.79-90
DOI:	10.1016/j.matcom.2015.06.013
Appears in Collections:	[Graduate Institute & Department of Statistics] Journal Article

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	115	View/Open