A New Compound Exponentiated Weibull Distribution with Statistical Properties and Applications

被引：0

作者：

Ansari, Saiful Islam ^{[1
]}

机构：

[1] Azad Inst Engn & Technol, Dept Business Adm, Lucknow, Uttar Pradesh, India

来源：

THAILAND STATISTICIAN | 2022年 / 20卷 / 03期

关键词：

Truncated Poisson model; moments; generating function; maximum likelihood; simulation; G FAMILY;

D O I：

暂无

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 is intended to design a new distribution focused on Poisson zero truncated that also accommodates many significant failure rates. Several of its characteristics are derived mathematically. The actual model's density is being interpreted as a mixture of exponentiated Weibull densities. The maximum likelihood method is considered to estimate model parameters. We demonstrated the significance and versatility of the compound exponentiated Weibull distribution through simulation of three data sets.

引用

页码：585 / 602

页数：18

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