文章基本信息

标题：A New Unit Distribution Based On The Unbounded Johnson Distribution Rule The Unit Johnson SU Distribution
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作者：Selim Gündüz ; Mustafa Ç. Korkmaz
期刊名称：Pakistan Journal of Statistics and Operation Research
印刷版ISSN：2220-5810
出版年度：2020
卷号：16
期号：3
页码：471-490
DOI：10.18187/pjsor.v16i3.3421
语种：English
出版社：College of Statistical and Actuarial Sciences
摘要：This paper proposes a new probability distribution, which belongs a member of the exponential family, defined on (0,1) unit interval. The new unit model has been defined by relation of a random variable defined on unbounded interval with respect to standard logistic function. Some basic statistical properties of newly defined distribution are derived and studied. The different estimation methods and some inferences for the model parameters have been derived. We assess the performance of the estimators of these estimation methods based on the three different simulation scenarios. The analysis of three real data examples which one is related to the coronavirus data, show better fit of proposed distribution than many known distributions on the unit interval under some comparing criteria.
关键词：Unit distribution;Johnson's distributions;estimation;beta distribution;exponential family;coronavirus data;COVID-19;recovery rate;burr modeling