A new simple and powerful normality test for progressively Type-II censored data

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 some existing goodness-of-fit tests based on progressively Type-II censored data. Also, the new test statistic for a realdata set is used and the results show that the new proposed test statistic performs well.

Keywords:

Goodness-of-fit testing , Location-scale family , Monte Carlo simulation , Order statistics , Progressive Type-II censoring , spacings