A Robust Framework for Probability Distribution Generation: Analyzing Structural Properties and Applications in Engineering and Medicine

A Robust Framework for Probability Distribution Generation: Analyzing Structural Properties and Applications in Engineering and Medicine

This study introduces a novel trigonometric-based family of distributions for modeling continuous data through a newly proposed framework known as the ASP family, where ‘ASP’ represents the initials of the authors Aadil, Shamshad, and Parvaiz. A specific subclass of this family, termed the “ASP Rayl...

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Bibliographic Details
Main Authors: Aadil Ahmad Mir, Shamshad Ur Rasool, S. P. Ahmad, A. A. Bhat, Taghreed M. Jawa, Neveen Sayed-Ahmed, Ahlam H. Tolba
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Axioms
Subjects:
ASP transformation
Rayleigh distribution
moments
entropy
order statistics
maximum likelihood estimation
Online Access:https://www.mdpi.com/2075-1680/14/4/281
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