文章基本信息

标题：Exponentiated Power Function Distribution: Properties and Applications
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作者：Muhammad Zeshan Arshad ; Muhammad Zafar Iqbal ; Munir Ahmad 等
期刊名称：Journal of Statistical Theory and Applications (JSTA)
电子版ISSN：1538-7887
出版年度：2020
卷号：19
期号：2
页码：297-313
DOI：10.2991/jsta.d.200514.001
语种：English
出版社：Atlantis Press
摘要：In this study, we have focused to propose a flexible model that demonstrates increasing, decreasing and upside-down bathtub-shaped density and failure rate functions. The proposed model refers to as the exponentiated power function (EPF) distribution. Some mathematical and reliability measures are developed and derived. We develop explicit expressions for the moments, quantile function and order statistics. Some shapes of the density and the reliability functions are sketched out and discussed. We suggest the method to estimate the unknown parameters of EPF by the maximum likelihood estimation. Two suitable lifetime datasets from engineering sector are used to explore the dominance of the EPF distribution.
关键词：Exponentiated distribution; Power function distribution; Bathtub-shaped failure rate; Order statistics; Rényi entropy; Maximum likelihood estimation