Computational testing algorithmic procedure of assessment for lifetime performance index of Pareto products 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 987654321/116856

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题名:	Computational testing algorithmic procedure of assessment for lifetime performance index of Pareto products under progressive type I interval censoring
作者:	Shu-Fei Wu;Jin-Yang Lu
关键词:	Progressive type I interval censored sample;Pareto distribution;Maximum likelihood estimator;Process capability indices
日期:	2017-06
上传时间:	2019-06-15 12:10:29 (UTC+8)
出版者:	Springer Berlin Heidelberg
摘要:	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 Pareto 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.
關聯:	Computational Statistics 32(2), p.647–666
DOI:	10.1007/s00180-017-0717-3
显示于类别:	[統計學系暨研究所] 期刊論文

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