A comparison of the parameter estimation methods for bimodal mixture Weibull distribution with complete data
Küçük Resim Yok
Tarih
2015
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Taylor & Francis Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Bimodal mixture Weibull distribution being a special case of mixture Weibull distribution has been used recently as a suitable model for heterogeneous data sets in many practical applications. The bimodal mixture Weibull term represents a mixture of two Weibull distributions. Although many estimation methods have been proposed for the bimodal mixture Weibull distribution, there is not a comprehensive comparison. This paper presents a detailed comparison of five kinds of numerical methods, such as maximum likelihood estimation, least-squares method, method of moments, method of logarithmic moments and percentile method (PM) in terms of several criteria by simulation study. Also parameter estimation methods are applied to real data.
Açıklama
Anahtar Kelimeler
62f10, 60e05, 62-07, Least Squares, Percentile Method, Maximum Likelihood, Logarithmic Moments, Moments, Mixture Distribution
Kaynak
Journal Of Applied Statistics
WoS Q Değeri
Q4
Scopus Q Değeri
Q2
Cilt
42
Sayı
7
