Title: Kolmogorov-Smirnov test for life test data with hybrid censoring
Abstract:
This work considers goodness-of-fit for the life test data with hybrid censoring. An alternative representation of the Kolmogorov-Smirnov (KS) statistics is provided under Type-I
censoring. The alternative representation leads us to approximate the limiting distributions of the KS statistic as a functional of the Brownian bridge for Type-II, Type-I hybrid and Type-II hybrid censored data. The approximated distributions are used to obtain the critical values of the tests in this context.We found that the proposed KS test procedure for Type-II censoring has more power than the available one(s) in literature.