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A0679
Title: Estimation of the Weibull distribution based on generalized adaptive progressive hybrid censored competing risks data Authors:  Yeongjae Seong - Daegu University (Korea, South)
Hyein Koo - Daegu University (Korea, South)
Kyeongjun Lee - Daegu University (Korea, South) [presenting]
Abstract: A competing risks model is considered under a generalized adaptive progressive hybrid censoring. When the latent failure times are Weibull distributed, maximum-likelihood estimates for the unknown distribution parameters are established where the associated existence and uniqueness are shown. The asymptotic distribution of the maximum-likelihood estimators is used to construct approximate confidence intervals. Moreover, Bayes estimates of the unknown parameters are obtained with respect to symmetric loss function and asymmetric loss function under the assumption of independent gamma priors. Lindley's approximation and the MCMC techniques have been utilized for Bayesian calculation. Simulation studies and real-life example are presented for illustration purpose.