Cumulative residual Kullback–Leibler information with the progressively Type-II censored data

We propose an extension of Kullback–Leibler information to the survival function, and generalize it to the censored case. We evaluate its performance as a goodness-of-fit test statistic with the progressively Type-II censored data. The new test is evaluated through Monte Carlo Simulations.