Bayes estimation for the Pareto failure-model using Gibbs sampling

Bayes estimation of the parameters and the reliability function based on type-1 and type-2 censored samples from a Pareto failure model is considered. The analysis is extended to situations wherein the exact survival times are not available but only the number of deaths in prescribed time intervals is recorded. Bayes calculations can be implemented easily by means of the Gibbs Sampler.