DocumentCode :
3438849
Title :
A modified MPS method for fitting the 3-parameter Weibull distribution
Author :
Renyan Jiang
Author_Institution :
Fac. of Automotive & Mech. Eng., Changsha Univ. of Sci. & Technol., Changsha, China
fYear :
2013
fDate :
15-18 July 2013
Firstpage :
983
Lastpage :
985
Abstract :
The maximum likelihood estimators for the parameters in a 3-parameter Weibull distribution sometimes do not exist. A variety of alternative approaches have been developed in the literature to solve this problem, and the maximum product of spacing (MPS) method is a good alternative. This paper shows that the MPS method can underestimate the shape parameter and the estimators of the location and scale parameters may be biased. A modified MPS method is proposed to avoid these problems. The appropriateness of the proposed approach is illustrated using two examples.
Keywords :
Weibull distribution; maximum likelihood estimation; 3-parameter Weibull distribution; location estimation; maximum likelihood estimators; maximum product of spacing method; modified MPS method; scale parameter estimation; shape parameter; Fitting; Mathematical model; Maximum likelihood estimation; Parameter estimation; Shape; Weibull distribution; MPS method; maximum likelihood method; modified MPS method; parameter estimation; three-parameter Weibull distribution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), 2013 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-1014-4
Type :
conf
DOI :
10.1109/QR2MSE.2013.6625731
Filename :
6625731
Link To Document :
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