In this paper, we propose a mixture model containing bivariate
Weibull distributions—the Marshall-Olkin bivariate Weibull (MOBW) and the Block-Basu
bivariate Weibull (BBBW)—because each of these distributions alone is
inadequate for explaining a data set when certain special situations occur in
bivariate lifetime data sets. We refer to the proposed model as Mix_BW. To estimate
the model parameters, we use the expectation-maximisation (EM) algorithm in an
adapted form we term the Mix_EM algorithm. We provide illustrative examples
with real and simulated data sets to demonstrate the applicability of the
proposed Mix_BW model.
Block-Basu bivariate Weibull (BBBW) Marshall-Olkin bivariate Weibull (MOBW) Maximum Likelihood Estimation Mixture distribution model
Bölüm | Statistics |
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Yazarlar | |
Yayımlanma Tarihi | 1 Haziran 2018 |
Yayımlandığı Sayı | Yıl 2018 Cilt: 31 Sayı: 2 |