A discrete extension of the Xgamma random variable: mathematical framework, estimation methods, simulation ranking, and applications to radiation biology and industrial engineering data

A discrete extension of the Xgamma random variable: mathematical framework, estimation methods, simulation ranking, and applications to radiation biology and industrial engineering data

Count data modeling and its practical applications have garnered significant attention in recent research, owing to its relevance in a wide range of fields. This study specifically explores a novel discrete distribution characterized by two parameters, which is derived using the survival discretizat...

Full description

Saved in:
Bibliographic Details
Main Authors: Mohamed S. Algolam, Mohamed S. Eliwa, Mohamed El-Dawoody, Mahmoud El-Morshedy
Format: Article
Language:English
Published: AIMS Press 2025-03-01
Series:AIMS Mathematics
Subjects:
statistical model
survival discretization technique
failure analysis
estimation methods
simulation
statistics and numerical data
Online Access:https://www.aimspress.com/article/doi/10.3934/math.2025277
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.aimspress.com/article/doi/10.3934/math.2025277

Similar Items