This article aims to study the problem of point and interval estimations of the exponentiated Pareto distribu-
tion utilizing unied hybrid censored scheme (HCS). We utilize three methods, including the maximum likelihood, parametric
bootstrap and Bayes of estimating the unknown parameters, reliability, hazard rate functions and coecient of variation.
Furthermore, Markov Chain Monte Carlo samples utilizing importance sampling scheme are utilized to generate the Bayes
estimates and the credible intervals for unknown quantities. The ndings of Bayes method computed using balanced loss
function. The suggested methods can be understood by analysing a set of real data.