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
出版日期：2019-01-30 00:00:00
著者：TANMAY KAYAL; YOGESH MANI TRIPATHI; SHU-FEI WU
著錄名稱、卷期、頁數：Journal of Applied Mathematics & Informatics 37(1_2), p.105-121
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.
關鍵字：Progressive type I interval censoring;Inverse exponentiated distributions;Maximum likelihood estimator;Process capability index
語言：en
ISSN：1598-5857
期刊性質：國外
收錄於：ESCI
審稿制度：是
國別：KOR
出版型式：電子版,紙本