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.
Mirjalili, S. M., & Nadeb, H. (2020). A new simple and powerful normality test for progressively Type-II censored data. Journal of Statistical Modelling: Theory and Applications, 1(1), 129-142. doi: 10.22034/jsmta.2020.1714
MLA
Sayyed Mahmoud Mirjalili; Hossein Nadeb. "A new simple and powerful normality test for progressively Type-II censored data", Journal of Statistical Modelling: Theory and Applications, 1, 1, 2020, 129-142. doi: 10.22034/jsmta.2020.1714
HARVARD
Mirjalili, S. M., Nadeb, H. (2020). 'A new simple and powerful normality test for progressively Type-II censored data', Journal of Statistical Modelling: Theory and Applications, 1(1), pp. 129-142. doi: 10.22034/jsmta.2020.1714
VANCOUVER
Mirjalili, S. M., Nadeb, H. A new simple and powerful normality test for progressively Type-II censored data. Journal of Statistical Modelling: Theory and Applications, 2020; 1(1): 129-142. doi: 10.22034/jsmta.2020.1714
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