Testing whether one distribution is more IFR than another
Abstract A test is constructed to determine whether one distribution is more IFR than another, via the total time on test (TTT) transform. We also establish the asymptotic normality of the proposed statistics. Because the asymptotic variance is still dependent on the unknown distribution we suggest using a bootstrapping method to estimate it. Finally, we give a simulation study to explain the results.