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    题名: A hypothesis testing procedure of assessment for the lifetime performance index under a general class of inverse exponentiated distributions with progressive type I interval censoring
    作者: KAYAL, TANMAY;TRIPATHI, YOGESH MANI;WU, SHU-FEI
    关键词: Progressive type I interval censoring;Inverse exponentiated distributions;Maximum likelihood estimator;Process capability index
    日期: 2019-01-30
    上传时间: 2020-09-17 12:11:31 (UTC+8)
    摘要: One of the main objective of manufacturing industries is to assess the capability performance of different processes. In this paper, we use the lifetime performance index CL as a criterion to measure larger-the-better type quality characteristic for evaluating the product performance. The lifetimes of products are assumed to follow a general class of inverted exponentiated distributions. We use maximum likelihood estimator to estimate the lifetime performance index under the assumption that data are progressive type I interval censored. We also obtain asymptotic distribution of this estimator. Based on this estimator, a new hypothesis testing procedure is developed with respect to a given lower specification limit. Finally, two numerical examples are discussed in support of the proposed testing procedure.
    關聯: Journal of Applied Mathematics & Informatics 37(1_2), p.105-121
    DOI: 10.14317/jami.2019.105
    显示于类别:[統計學系暨研究所] 期刊論文

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