The I-Function Distribution and its Extensions
P. Vellaisamy, K. K. Kataria

TL;DR
This paper introduces the I-function distribution, a new flexible distribution on (0,1) that generalizes many known distributions, and explores its properties, including products, quotients, powers, and an inverse Gaussian extension.
Contribution
It presents the I-function distribution and its extensions, providing new tools for modeling positive data with flexible distributional properties.
Findings
The I-function distribution generalizes several known distributions.
Products, quotients, and powers of I-function variates are also I-function variates.
Introduction and analysis of the I-function inverse Gaussian distribution.
Abstract
In this paper we introduce a new probability distribution on (0,1), associated with the I-function, namely, the I-function distribution. This distribution generalizes several known distributions with positive support. It is also shown that the distribution of products, quotients and powers of independent I-function variates are I-function variates. Another distribution called the I-function inverse Gaussian distribution is also introduced and studied.
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Taxonomy
TopicsBayesian Methods and Mixture Models · Chaos-based Image/Signal Encryption · Face and Expression Recognition
