A comparative study for the location and scale parameters of the Weibull distribution with given shape parameter

Nine parametric estimators of the location and scale parameters of a two-parameter Weibull distribution are compared in terms of their bias and efficiency in a simulation study. The estimators considered are the maximum likelihood estimators (MLE), moment estimators (ME), generalized spacing estimat...

Full description

Saved in:
Bibliographic Details
Published in:Computers & geosciences 2008-12, Vol.34 (12), p.1900-1909
Main Authors: Kantar, Yeliz Mert, Şenoğlu, Birdal
Format: Article
Language:English
Subjects:
Earth sciences
Earth, ocean, space
Efficiency
Engineering and environment geology. Geothermics
Exact sciences and technology
Generalized spacing estimators
Least-squares estimators
Marine and continental quaternary
Maximum likelihood estimators
Modified maximum likelihood estimators
Moment estimators
Monte Carlo simulation
Natural hazards: prediction, damages, etc
Percentile estimators
Surficial geology
Tiku's modified maximum likelihood estimators
Weighted least-squares estimators
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Nine parametric estimators of the location and scale parameters of a two-parameter Weibull distribution are compared in terms of their bias and efficiency in a simulation study. The estimators considered are the maximum likelihood estimators (MLE), moment estimators (ME), generalized spacing estimators (GSE), modified maximum likelihood estimators I (MMLE-I), modified maximum likelihood estimators II (MMLE-II), Tiku's modified maximum likelihood estimators (TMMLE), least-squares estimators (LSE), weighted least-squares estimators (WLSE) and percentile estimators (PCE). The aim of the comparisons is to identify the most efficient estimators among these nine estimators for different shape parameters and sample sizes.
ISSN:0098-3004
1873-7803
DOI:10.1016/j.cageo.2008.04.004