A computational algorithm for the evaluation on the lifetime performance index of products with Rayleigh distribution under progressive type I interval 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 987654321/116852

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題名:	A computational algorithm for the evaluation on the lifetime performance index of products with Rayleigh distribution under progressive type I interval censoring
作者:	Shu-Fei Wu;Ying-Tzu Lin;Wen-Jui Chang;Chia-Wei Chang;Chen Lin
關鍵詞:	Censored sample;Rayleigh distribution;Maximum likelihood estimator;Process capability indices;Testing algorithmic procedure
日期:	2018-01-15
上傳時間:	2019-06-15 12:10:19 (UTC+8)
摘要:	It is a very important topic these days to assessing the lifetime performance of products in manufacturing or service industries. Lifetime performance indices is used to measure the larger-the-better type quality characteristics to evaluate the process performance for the improvement of quality and productivity. The lifetimes of products are assumed to have Rayleigh distribution. 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 developed. We use this estimator to build the new hypothesis testing algorithmic procedure with respect to a 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.
關聯:	Journal of Computational and Applied Mathematics 328, p.508-519
DOI:	10.1016/j.cam.2017.07.004
顯示於類別:	[統計學系暨研究所] 期刊論文

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