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
Link To Document :
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