Estimation of parameters for the Marshall-Olkin generalized exponential distribution based on complete data

被引：4
|
作者：
Torabi, Hamzeh [1 ]
Bagheri, F. L. [1 ]
Mahmoudi, E. [1 ]
机构：
[1] Yazd Univ, Dept Stat, Yazd 89175741, Iran
来源：
MATHEMATICS AND COMPUTERS IN SIMULATION | 2018年 / 146卷
关键词：
Exponentiated exponential distribution; Marshall-Olkin generalized exponential distribution; Maximum likelihood estimation; Minimum spacing distance estimator; WEIBULL; FAMILY; INFERENCE; GAMMA;
D O I：
10.1016/j.matcom.2017.11.005
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper derives some properties of the Marshall-Olkin generalized exponential distribution and shows that this distribution is more flexible than the exponentiated exponential distribution. Then we discuss estimation of the distribution parameters by the methods of moments, maximum likelihood and some new methods based on minimum spacing distance. Furthermore, asymptotic confidence intervals of the estimators are presented. Finally, we give a method to simulate the proposed distribution. (C) 2017 International Association for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.V. All rights reserved.
引用
收藏
页码：177 / 185
页数：9
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