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

[21] Estimating the parameters of Weibull distribution and the acceleration factor from hybrid partially accelerated life test
Ismail, Ali A.
[J]. APPLIED MATHEMATICAL MODELLING, 2012, 36 (07) : 2916 - 2921
[22] A comparison of methods for estimating parameters of the type I discrete Weibull distribution
Barbiero, Alessandro
[J]. STATISTICS AND ITS INTERFACE, 2016, 9 (02) : 203 - 212
[23] ESTIMATING SCALE PARAMETER OF EXPONENTIAL DISTRIBUTION WITH UNKNOWN LOCATION
ZIDEK, JV
[J]. ANNALS OF MATHEMATICAL STATISTICS, 1970, 41 (05): : 1807 - &
[24] ESTIMATING SCALE PARAMETER OF EXPONENTIAL DISTRIBUTION WITH UNKNOWN LOCATION
ZIDEK, JV
[J]. ANNALS OF STATISTICS, 1973, 1 (02): : 264 - 278
[25] Using genetic algorithms for estimating Weibull parameters with application to wind speed
Koca, Melih Burak
Kilic, Muhammet Burak
Sahin, Yusuf
[J]. INTERNATIONAL JOURNAL OF OPTIMIZATION AND CONTROL-THEORIES & APPLICATIONS-IJOCTA, 2020, 10 (01): : 137 - 146
[26] ESTIMATION OF THE LOCATION AND SCALE PARAMETERS OF MOYAL DISTRIBUTION
Arslan, Talha
Acitas, Sukru
Senoglu, Birdal
[J]. TWMS JOURNAL OF APPLIED AND ENGINEERING MATHEMATICS, 2020, 10 (04): : 1135 - 1144
[27] On Estimation of the Scale and Location Parameters of Distribution Tails
Akhtyamov P.I.
Rodionov I.V.
[J]. Journal of Mathematical Sciences, 2022, 262 (4) : 406 - 424
[28] A novel information geometry method for estimating parameters of the Weibull wind speed distribution
Kurban, Mehmet
Dokur, Emrah
Ceyhan, Salim
[J]. PROCEEDINGS OF THE ESTONIAN ACADEMY OF SCIENCES, 2018, 67 (01) : 39 - 49
[29] Estimating parameters of the three-parameter Weibull distribution using a neural network
Abbasi, Babak
Rabelo, Luis
Hosseinkouchack, Mehdi
[J]. EUROPEAN JOURNAL OF INDUSTRIAL ENGINEERING, 2008, 2 (04) : 428 - 445
[30] Computation of the parameters of the Weibull distribution for estimating the bending strength of corrugated roofing sheets
Ambrozic, Milan
Vidovic, Krunoslav
[J]. MATERIALI IN TEHNOLOGIJE, 2007, 41 (04): : 179 - 184

← 1 2 3 4 5 →