Estimating the location and scale parameters of the Weibull distribution: An application from engineering

被引：0

作者：

Kantar, Yeliz Mert ^{[1
]}

Senoglu, Birdal ^{[2
]}

机构：

[1] Anadolu Univ, Fen Fak, Istatist Bolumu, Eskisehir, Turkey

[2] Ankara Univ, TR-06100 Ankara, Turkey

来源：

PROCEEDINGS OF THE 16TH IASTED INTERNATIONAL CONFERENCE ON APPLIED SIMULATION AND MODELLING | 2007年

关键词：

maximum likelihood estimators; moment estimators; generalized spacing estimators; modified maximum likelihood estimators; Tiku's modified maximum likelihood estimators; least squares estimators; weighted least squares estimators and percentile estimators;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

There exist various methods for estimating the location and scale parameters of the Weibull distribution. The maximum likelihood estimators (MLE), moment estimators (ME), generalized spacing estimators (GSE), modified maximum likelihood estimators (MMLE-I and MMLE-II), Tiku's Modified Maximum Likelihood Estimators (TMMLE), least squares estimators (LSE), weighted least squares estimators (WLSE) and percentile estimators (PCE) are the most popular among the other estimation methods used in the literature. In this study, we estimate the location and scale parameters of the two-parameter Weibull distribution by using a real data set. We also compare these estimators in terms of defficiency via Monte Carlo simulation.

引用

页码：90 / +

页数：2

共 50 条

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