Estimation and prediction from progressively censored data using proportional hazards model
Author(s):
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
In this paper, based on progressively Type-II censored samples, the maximum likelihood and Bayes estimators are derived for some lifetime parameters. In the Bayesian framework, the point estimations of unknown parameters under both symmetric and asymmetric loss functions are discussed. The Bayesian estimations have been obtained using the conjugate prior and discrete priors for the shape and scale parameters, respectively. We also provide Bayes prediction intervals for the times to failure of units censored in multiple stages in a progressively censored sample. Finally, two numerical examples are presented to illustrate the results.
Keywords:
Language:
English
Published:
Journal of Statistical Modelling: Theory and Applications, Volume:5 Issue: 1, Winter and Spring 2024
Pages:
1 to 14
https://www.magiran.com/p2829047
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