A generalization of Tukey’s g-h family of distributions

A new class of distribution function based on the symmetric densities is introduced, these transformations also produce nonnormal distributions and its pdf and cd f can be expressed in parametric form. This class of distributions depend on the two parameters, namely g and h which controls the skewne...

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Bibliographic Details
Main Authors: J.A. Jiménez, V. Arunachalam, G.M. Serna
Format: Article
Language:English
Published: Springer 2015-03-01
Series:Journal of Statistical Theory and Applications (JSTA)
Subjects:
Online Access:https://www.atlantis-press.com/article/18185.pdf
Description
Summary:A new class of distribution function based on the symmetric densities is introduced, these transformations also produce nonnormal distributions and its pdf and cd f can be expressed in parametric form. This class of distributions depend on the two parameters, namely g and h which controls the skewness and the elongation of the tails, respectively. This class of skewed distributions is a generalization of Tukey’s g-h family of distributions. In this paper, we calculate a closed form expression for the density and distribution of the Tukey’s g-h family of generalized distributions, which allows us to easily compute probabilities, moments and related measures.
ISSN:1538-7887