Title of article
A new simple and powerful normality test for progressively Type-II censored data
Author/Authors
Mirjalili, Mahmoud Department of Statistics - Velayat University, Iranshahr, Iran , Nadeb, Hossein Department of Statistics - Yazd University, Yazd, Iran
Pages
14
From page
129
To page
142
Abstract
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.
Keywords
Goodness-of-fit testing , Location-scale family , Monte Carlo simulation , Order statistics , Progressive Type-II censoring , spacings
Journal title
Journal of Statistical Modelling: Theory and Applications (JSMTA)
Serial Year
2020
Record number
2711496
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