文章基本信息

标题：POWER ISHITA DISTRIBUTION AND ITS APPLICATION TO MODEL LIFETIME DATA
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作者：Kamlesh Kumar Shukla ; Rama Shanker
期刊名称：Statistics in Transition
印刷版ISSN：1234-7655
电子版ISSN：2450-0291
出版年度：2018
卷号：19
期号：1
页码：135-148
DOI：10.21307/stattrans-2018-008
出版社：Exeley Inc.
摘要：A study on two-parameter power Ishita distribution (PID), of which Ishita distribution introduced by Shanker and Shukla (2017 a) is a special case, has been carried out and its important statistical properties including shapes of the density, moments, skewness and kurtosis measures, hazard rate function, and stochastic ordering have been discussed. The maximum likelihood estimation has been discussed for estimating its parameters. An application of the distribution has been explained with a real lifetime data from engineering, and its goodness of fit shows better fit over two-parameter power Akash distribution (PAD), twoparameter power Lindley distribution (PLD) and one-parameter Ishita, Akash, Lindley and exponential distributions.
关键词：Ishita distribution;moments;hazard rate function;stochastic ordering;maximum likelihood estimation;goodness of fit.