Title :
A modified MPS method for fitting the 3-parameter Weibull distribution
Author_Institution :
Fac. of Automotive & Mech. Eng., Changsha Univ. of Sci. & Technol., Changsha, China
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;
Conference_Titel :
Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), 2013 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-1014-4
DOI :
10.1109/QR2MSE.2013.6625731