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- W2890717297 abstract "AbstractThe purpose of the paper is to estimate the parameters of the two-component mixture of Weibull distribution under doubly censored samples using Bayesian approach. The choice of Weibull distribution is made due to its (i) capability to model failure time data from engineering, medical and biological sciences (ii) added advantages over the well-known lifetime distributions such as exponential, Raleigh, lognormal and gamma distribution in terms of flexibility, increasing and decreasing hazard rate and closed-form distribution function and hazard rate. The proposed two-component mixture of Weibull distribution is even more flexible than its conventional form. However, the estimation of the parameters from the proposed mixture is more complex. Further, we have assumed couple of loss functions under non informative prior for the Bayesian analysis of the parameters from the mixture model. As the resultant Bayes estimators and associated posterior risks cannot be derived in the closed form, we have used t..." @default.
- W2890717297 created "2018-09-27" @default.
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- W2890717297 date "2018-09-19" @default.
- W2890717297 modified "2023-09-24" @default.
- W2890717297 title "Approximate Bayesian analysis of doubly censored samples from mixture of two Weibull distributions" @default.
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- W2890717297 doi "https://doi.org/10.1080/03610926.2018.1473430" @default.
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