文章基本信息

标题：The Modified Burr III G family of Distributions
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作者：Shahzadi Arifa ; Mohammad Zafar Yab ; Azeem Ali 等
期刊名称：Journal of Data Science
印刷版ISSN：1680-743X
电子版ISSN：1683-8602
出版年度：2017
卷号：15
期号：1
页码：41-60
出版社：Tingmao Publish Company
摘要：We introduce a new family of distributions based on a generalized Burr III generator called Modified Burr III G family and study some of its mathematical properties. Its density function can be bell-shaped, left-skewed, right-skewed, bathtub, J or reversed-J. Its hazard rate can be increasing or decreasing, bathtub, upside-down bathtub, J and reversed-J. Some of its special models are presented. We illustrate the importance of the family with two applications to real data sets.
关键词：Burr family of distributions; generalized family; hazard rate; maximum likelihood estimation.