Stochastic Comparisons of Largest-Order Statistics for Proportional Reversed Hazard Rate Model and Applications

We investigate stochastic comparisons of parallel systems (corresponding to the largest-order statistics) with respect to the reversed hazard rate and likelihood ratio orders for the proportional reversed hazard rate (PRHR) model. As applications of the main results, we obtain the equivalent characterizations of stochastic comparisons with respect to the reversed hazard rate and likelihood rate orders for exponentiated generalized gamma and exponentiated Pareto distributions. Our results recover and strengthen some recent results in the literature.