Estimating the parameters of 3-p Weibull distribution through differential evolution

ÖRKCÜ H. H., AKSOY E., Dogan M. I.

APPLIED MATHEMATICS AND COMPUTATION, cilt.251, ss.211-224, 2015 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 251
  • Basım Tarihi: 2015
  • Doi Numarası: 10.1016/j.amc.2014.10.127
  • Dergi Adı: APPLIED MATHEMATICS AND COMPUTATION
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.211-224
  • Anahtar Kelimeler: Weibull distribution, Maximum likelihood estimation, Differential evolution algorithm, Mutation schemes, Estimation accuracy, ALGORITHM, OPTIMIZATION
  • Gazi Üniversitesi Adresli: Evet

Özet

The Weibull distribution is one of the most widely used lifetime distributions in reliability engineering and the estimation of the parameters of this distribution is essential in the most real applications. Maximum likelihood (ML) estimation is a common method, which is usually used to elaborate on the parameter estimation. The working principle of ML estimation method based on maximizing the established likelihood function and maximizing this function formed for the parameter estimation of a three-parameter (3-p) Weibull distribution is a quite challenging problem. In this paper, this problem have been briefly discussed and an effective approach based on the differential evolution (DE) algorithm operators is proposed in order to enhance the estimation accuracy with less system resources. Three explanatory numerical examples are given to show that DE approach which requires significantly less CPU time and exhibits a rapid convergence to the maximum value of the likelihood function in less iterations, provides accurate estimates and is satisfactory for the parameter estimation of the 3-p Weibull distribution. (C) 2014 Elsevier Inc. All rights reserved.