Inference for Weibull distribution under adaptive Type-I progressive hybrid censored competing risks data

S. K. Ashour and M. Nassar

Communications in Statistics - Theory and Methods, 2017, vol. 46, issue 10, 4756-4773

Abstract: In this paper, a competing risks model is considered under adaptive type-I progressive hybrid censoring scheme (AT-I PHCS). The lifetimes of the latent failure times have Weibull distributions with the same shape parameter. We investigate the maximum likelihood estimation of the parameters. Bayes estimates of the parameters are obtained based on squared error and LINEX loss functions under the assumption of independent gamma priors. We propose to apply Markov Chain Monte Carlo (MCMC) techniques to carry out a Bayesian estimation procedure and in turn calculate the credible intervals. To evaluate the performance of the estimators, a simulation study is carried out.

Date: 2017
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Citations: View citations in EconPapers (3)

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DOI: 10.1080/03610926.2015.1083111

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