Extended Reciprocal Rayleigh Distribution: Copula, Properties and Real Data Modeling

被引：0

作者：

Rezk, H. ^{[1
,2
]}

机构：

[1] Princess Nourah bint Abdulrahman Univ, Coll Sci, Math Sci Dept, Riyadh, Saudi Arabia

[2] Al Azhar Univ, Dept Stat, Cairo, Egypt

来源：

PAKISTAN JOURNAL OF STATISTICS AND OPERATION RESEARCH | 2020年 / 16卷 / 01期

关键词：

Reciprocal Rayleigh Distribution; Clayton Copula; Morgenstern Family; Moments; Estimation; Odd Log-Logistic Family; Graphical Simulation; GENERAL EXPONENTIAL CLASS; LOG-LOGISTIC FAMILY; FRECHET DISTRIBUTION; REGRESSION-MODELS;

D O I：

10.18187/pjsor.v16i1.3112

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：

A new extension of the reciprocal Rayleigh distribution is introduced. Simple type copula-based construction is presented for deriving and many bivariate and multivariate type distributions of the reciprocal Rayleigh model. The new reciprocal Rayleigh model generalizes another three reciprocal Rayleigh distributions. The performance of the estimation method is assessed using a graphical simulation study.

引用

页码：35 / 52

页数：18

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