Article Code : 13970620233719164325

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

Journal Number : 1234 Spring 2018

Visited : 134

Files : 151 KB

List of Authors

  Full Name Email Grade Degree Corresponding Author
1 S.M. Mirjalili Assistant Professor PhD
2 H. Nadeb Graduate M.Sc


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 real‎ ‎data set is used and the results show that the new proposed test‎ ‎statistic performs well.