The γ-order generalized chi-square distribution

Based on the definition of the γ-order generalized normal, the γ-order generalized standard normal is obtained, and applications are referred. We proceed on the definition of the γ-order generalized chi-square, [Formula: see text] and the probability density function (pdf) is evaluated. Moreover, th...

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Bibliographic Details
Main Authors: Christos P. Kitsos, Ioannis S. Stamatiou
Format: Article
Language:English
Published: Taylor & Francis 2024-12-01
Series:Research in Statistics
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/27684520.2024.2377684
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Summary:Based on the definition of the γ-order generalized normal, the γ-order generalized standard normal is obtained, and applications are referred. We proceed on the definition of the γ-order generalized chi-square, [Formula: see text] and the probability density function (pdf) is evaluated. Moreover, the moment generating function (mgf) of the [Formula: see text] is evaluated and in the case of γ = 2 the mgf of the well known [Formula: see text] is obtained. The same procedure is followed for the moments of the [Formula: see text] One step forward is the evaluation of the convolution of two [Formula: see text] and therefore [Formula: see text] is obtained eventually and the corresponding pdf is evaluated. Finally examples and applications of [Formula: see text] are discussed.
ISSN:2768-4520