  In this paper, a new goodness-of-fit test for a location-scale family based
on progressively Type-II censored order statistics is proposed. Using Monte
Carlo simulation studies, the present researchers have observed that the
proposed test for normality is consistent and quite powerful in comparison with
existing goodness-of-fit tests based on progressively Type-II censored data.
Also, the new test statistic for a real data set is used and the results show
that our new test statistic performs well.
