Estimation and prediction of two Rayleigh lifetime distributions under joint censoring scheme

Comparative life tests of a product have received considerable attention in the past few years for measuring relative merits competing duration. In this paper, we are adopting problem estimation and prediction Rayleigh lifetime distributions under joint Type-I censoring scheme. The point interval is formulated with maximum likelihood Bayes methods unknown parameters. Also, Bayesian approach applied viewpoint both prediction. results discussed through analysis set real data bulding Monte-Carlo simulation studies. Finally, built numerical discussion most important future recommendations.