2017
DOI: 10.20454/ijas.2017.1176
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On the normal moments distributions and its characterizations

Abstract: Normal moment distribution is a family of elliptical density, the density which depends on the shape parameter \(\alpha\), such that when \(\alpha=0\), it corresponds to the normal density function. Several properties of this class of density function and characterizations are established.

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“…The Kolmogorov–Smirnov test and the χ 2 test were applied in the present study. These are efficient tests, widely used in the literature . The nonparametric Kolmogorov–Smirnov test is based on the maximum distance DN between the expected cumulative distribution function FX and the observed one FO.…”
Section: Results and Analysismentioning
confidence: 99%
“…The Kolmogorov–Smirnov test and the χ 2 test were applied in the present study. These are efficient tests, widely used in the literature . The nonparametric Kolmogorov–Smirnov test is based on the maximum distance DN between the expected cumulative distribution function FX and the observed one FO.…”
Section: Results and Analysismentioning
confidence: 99%