In this article, unknown parameters of exponentiated Rayleigh distribution based on generalized Type II
Hybrid censored data, survival function, failure rate function and coefficient of variation are derived by
applying the maximum likelihood, Bayes and percentile bootstrap methods. Approximate confidence intervals for the unknown parameters, survival function, failure rate function and coefficient of variation
are obtained. We study Bayes estimates under gamma priors distributions depending on symmetric and
asymmetric loss functions via the Gibbs within Metropolis-Hasting samplers procedure. Finally, the proposed methods can be understood through illustrating the results of the real data analysis