The Weibull Generalized Exponential Distribution with Censored Sample: Estimation and Application on Real Data

被引：34

作者：

Almongy, Hisham M. ^{[1
]}

Almetwally, Ehab M. ^{[2
]}

Alharbi, Randa ^{[3
]}

Alnagar, Dalia ^{[3
]}

Hafez, E. H. ^{[4
]}

El-Din, Marwa M. Mohie ^{[5
]}

机构：

[1] Mansoura Univ, Fac Commerce, Appl Stat & Insurance Dept, Mansoura, Egypt

[2] Delta Univ Sci & Technol, Fac Business Adm, Stat Dept, Mansoura, Egypt

[3] Univ Tabuk, Stat Dept, Tabuk, Saudi Arabia

[4] Helwan Univ, Fac Sci, Math Dept, Cairo, Egypt

[5] Egyptian Russian Univ, Fac Engn, Math & Nat Sci Dept, Badr, Egypt

来源：

COMPLEXITY | 2021年 / 2021卷

关键词：

INFERENCE; PRODUCT; PARAMETERS;

D O I：

10.1155/2021/6653534

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

This paper is concerned with the estimation of the Weibull generalized exponential distribution (WGED) parameters based on the adaptive Type-II progressive (ATIIP) censored sample. Maximum likelihood estimation (MLE), maximum product spacing (MPS), and Bayesian estimation based on Markov chain Monte Carlo (MCMC) methods have been determined to find the best estimation method. The Monte Carlo simulation is used to compare the three methods of estimation based on the ATIIP-censored sample, and also, we made a bootstrap confidence interval estimation. We will analyze data related to the distribution about single carbon fiber and electrical data as real data cases to show how the schemes work in practice.

引用

页数：15

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