Estimation Methods of Alpha Power Exponential Distribution with Applications to Engineering and Medical Data

被引：31
作者：
Nassar, Mazen [1 ,2 ]
Afify, Ahmed Z. [3 ]
Shakhatreh, Mohammed K. [4 ]
机构：
[1] King Abdulaziz Univ, Fac Sci, Dept Stat, Jeddah, Saudi Arabia
[2] Zagazig Univ, Fac Commerce, Dept Stat, Zagazig, Egypt
[3] Benha Univ, Dept Stat Math & Insurance, Banha, Egypt
[4] Jordan Univ Sci & Technol, Dept Math & Stat, Irbid, Jordan
来源：
PAKISTAN JOURNAL OF STATISTICS AND OPERATION RESEARCH | 2020年 / 16卷 / 01期
关键词：
Alpha power transformation; hazard rate function; maximum likelihood estimation; method of maximum product spacing; simulation; WEIBULL DISTRIBUTION PROPERTIES; LINDLEY DISTRIBUTION; FAMILY;
D O I：
10.18187/pjsor.v16i1.3129
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
This paper addresses the estimation of the unknown parameters of the alpha power exponential distribution (Mandavi and Kundu, 2017) using nine frequentist estimation methods. We discuss the finite sample properties of the parameter estimates of the alpha power exponential distribution via Monte Carlo simulations. The potentiality of the distribution is analyzed by means of two real data sets from the fields of engineering and medicine. Finally, we use the maximum likelihood method to derive the estimates of the distribution parameters under competing risks data and analyze one real data set.
引用
收藏
页码：149 / 166
页数：18
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