Bivariate Mixture of Inverse Weibull Distribution: Properties and Estimation

被引：4
|
作者：
AL-Moisheer, A. S. [1 ]
Alotaibi, Refah Mohammed [2 ]
Alomani, Ghadah A. [2 ]
Rezk, H. [2 ,3 ]
机构：
[1] Jouf Univ, Math Dept, Coll Sci, POB 848, Sakaka 72351, Saudi Arabia
[2] Princess Nourah Bint Abdulrahman Univ, Math Sci Dept, Coll Sci, POB 84428, Riyadh 11671, Saudi Arabia
[3] Al Azhar Univ, Stat Dept, Cairo, Egypt
来源：
MATHEMATICAL PROBLEMS IN ENGINEERING | 2020年 / 2020卷 / 2020期
关键词：
DISCRIMINANT FUNCTION; PARAMETERS; LIFE;
D O I：
10.1155/2020/5234601
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this study, we construct a mixture of bivariate inverse Weibull distribution. We assumed that the parameters of two marginals have Bernoulli distributions. Several properties of the proposed model are obtained, such as probability marginal density function, probability marginal cumulative function, the product moment, the moment of the two variables x and y, the joint moment-generating function, and the correlation between x and y. The real dataset has been analyzed. We observed that the mixture bivariate inverse Weibull distribution provides a better fit than the other model.
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收藏
页数：12
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