A New Triangular Probability Model: A Combinatorial Modification of Probability Distributions.

Emwinloghosa Kenneth Guobadia; Jophet Ewere Okoh; Joel Isreal Eviano; Adebisi Ajibola Monsuru

doi:10.52589/AJMSS-GFXKGRVS

A New Triangular Probability Model: A Combinatorial Modification of Probability Distributions. | AB Journals

A New Triangular Probability Model: A Combinatorial Modification of Probability Distributions.

;
;
;

African Journal of Mathematics and Statistics Studies

Vol. 8Issue 22025pp. 40–47Published 27 April 2025

DOI 10.52589/AJMSS-GFXKGRVS

963Views

314Downloads

Metrics

Share Link

𝕏

Cite this

Citation unavailable for this article.

Abstract:

The paper projects innovating means to probability modeling using integration method and the concept of normalization. It brings to light a probability distribution obtained by combining a probability density function of a distribution and a cumulative distribution function of another continuous probability model, to produce a triangular trend and a half bell-curve trend. Gumbel and exponential distributions are the root-distributions used for this development. The properties of the distribution include moments and related measures, and estimation, studied alongside simulation.

Keywords:Gumbel distribution Exponential distribution Product arrangement Triangular trend.

Copyrights

Authors retain copyright in their articles and have unrestricted rights to reuse, republish, archive, share, and distribute their work after publication.
All articles are published open access under the Creative Commons Attribution 4.0 International (CC BY 4.0) licence, which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, including for commercial purposes, provided appropriate credit is given to the original author(s) and source.

Loading…

Disclaimer/Publisher’s Note

The statements, opinions and data contained in this publication are solely those of the author(s) and contributor(s) and not of AB Journals or its editors. AB Journals remains neutral and accepts no responsibility for any injury or damage resulting from ideas, methods, instructions or products referred to in the content.