Title of article
On testing more IFRA ordering
Author/Authors
Izadi، نويسنده , , Muhyiddin and Khaledi، نويسنده , , Baha-Eldin، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2012
Pages
8
From page
840
To page
847
Abstract
In this paper, first we consider the problem of testing that two unknown distributions are identical against the alternative that one is more IFRA than the other and propose a new test that is asymptotically normal and consistent. Next, we prove that beta family of distributions is ordered according to more IFRA ordering. The empirical power of the proposed test is simulated for some specific families of distributions like beta, gamma and Weibull that are ordered with respect to more IFRA order. Finally, we apply our test to some real data sets in the context of reliability.
Keywords
Star order , beta , Gamma and Weibull families , Asymptotic normality , Kernel density estimation , Skewness , Star shape function
Journal title
Journal of Statistical Planning and Inference
Serial Year
2012
Journal title
Journal of Statistical Planning and Inference
Record number
2221808
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