The lifetime analysis of the Weibull model based on Generalized Type-I progressive hybrid censoring schemes

The lifetime analysis of the Weibull model based on Generalized Type-I progressive hybrid censoring schemes

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In this study, we estimate the unknown parameters, reliability, and hazard functions using a generalized Type-I progressive hybrid censoring sample from a Weibull distribution.Maximum likelihood (ML) and Bayesian estimates are calculated using a choice of prior distributions and loss functions, including Rice Warmers squared error, general entropy, and LINEX.Unobserved failure point and interval Bayesian predictions, as well as a future progressive censored sample, are also developed.Finally, we run some simulation tests for the Bayesian approach and numerical example Course a pied - Homme - Vetements - Collant - Lamine on real data sets using the MCMC algorithm.