Work

Theory, simulation, and application of the entropy transformation of the Chen distribution to enhance interdisciplinary data analysis

Year: 2025

Type: article

Abstract: This study introduces a novel model that integrates the Chen distribution with entropy transformation techniques to enhance cross-disciplinary data analysis. The Chen distribution, known for its applicability in medical and engineering longevity studies, is extended through entropy-based transformations to capture diverse data patterns. The proposed model's key statistical properties, including reliability functions, hazard rates, and moments, are thoroughly derived. We explore the flexibility of the new density and hazard rate functions, highlighting their ability to represent various data structures. Parameter estimation is conducted using simulated data, and the model's performance is rigorously assessed through goodness-of-fit criteria. Comparative analysis with several well-established models across four real-world lifespan datasets from engineering and medical fields shows that the proposed model delivers superior fit and adaptability, underscoring its practical utility.

Source: Journal of Radiation Research and Applied Sciences

DOI: 10.1016/j.jrras.2025.101472

Authors: Tabassum Naz Sindhu, Ehab M. Almetwally, Anum Shafiq, Tahani A. Abushal

Institutions: Quaid-i-Azam University, Imam Mohammad ibn Saud Islamic University, VSB - Technical University of Ostrava, Umm al-Qura University

Language: English

Topic: Statistical Distribution Estimation and Applications

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,400

Funders: Deanship of Scientific Research, Imam Mohammed Ibn Saud Islamic University, Al-Imam Muhammad Ibn Saud Islamic University