Estimation procedures on Type-II censored data from a scaled Muth distribution

被引：0

作者：

Bicer, Hayrinisa Demirci ^{[1
]}

Ozturker, Berkay ^{[2
]}

Bicer, Cenker ^{[1
]}

机构：

[1] Kirikkale Univ, Dept Stat, Kirikkale, Turkey

[2] Turkish Employment Agcy, Ankara, Turkey

来源：

SIGMA JOURNAL OF ENGINEERING AND NATURAL SCIENCES-SIGMA MUHENDISLIK VE FEN BILIMLERI DERGISI | 2021年 / 39卷 / 02期

关键词：

Lifetime model; Muth distribution; censored data; maximum spacing; maximum likelihood; least-squares; WEIBULL DISTRIBUTION; BAYESIAN-INFERENCE; PREDICTION;

D O I：

10.14744/sigma.2021.00004

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In the present paper, we consider the estimation problem for the scaled Muth distribution under Type-II censoring scheme. In order to estimate the model parameters alpha and beta, the maximum likelihood, the least-squares, and the maximum spacing estimators are derived. To show estimation efficiencies of the estimators obtained with this paper, we present an extensive Monte-Carlo simulation study in which the estimators are compared according to bias and mean squared error criteria. Furthermore, we evaluate the applicability of the scaled Muth distribution by taking into account both full and Type-II censored data situations by an analysis conducted on a real-life dataset.

引用

页码：148 / 158

页数：11

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