A new two-parameter Rayleigh distribution: Statistical properties, actuarial measures, regression analysis, and applications

This paper presents a novel two-parameter distribution derived from the Rayleigh distribution, thoroughly investigating its essential mathematical properties. We employ estimation techniques to determine the proposed distribution's estimated parameters. Through extensive simulation studies, we analyze and evaluate the asymptotic behavior of the model estimators. Furthermore, we calculate various actuarial measures to highlight the practical utility of the proposed distribution in actuarial science. To further substantiate the applicability of our distribution, we perform a comprehensive regression analysis. The practical relevance of the proposed distribution is demonstrated by modeling a lifetime dataset from the insurance field, where it exhibits a superior fit compared to existing distributions. The findings suggest that the new distribution significantly improves modeling capabilities, making it a valuable tool for theoretical research and practical applications in fields requiring accurate lifetime data modeling.

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Publication Details

Journal
Heliyon
Published
2024-08-26
DOI
https://doi.org/10.1016/j.heliyon.2024.e36775
Citations
3
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
Field-Weighted Citation Impact
2.13

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article

A new two-parameter Rayleigh distribution: Statistical properties, actuarial measures, regression analysis, and applications

Ehab Mohamed Almetwally, Ahmed M. Gemeay, Eslam Hussam
3 citations
Heliyon
Statistical Distribution Estimation and Applications
2.13
article

A new two-parameter Rayleigh distribution: Statistical properties, actuarial measures, regression analysis, and applications

Ehab Mohamed Almetwally, Ahmed M. Gemeay, Eslam Hussam
article en
3 citations

Abstract

This paper presents a novel two-parameter distribution derived from the Rayleigh distribution, thoroughly investigating its essential mathematical properties. We employ estimation techniques to determine the proposed distribution's estimated parameters. Through extensive simulation studies, we analyze and evaluate the asymptotic behavior of the model estimators. Furthermore, we calculate various actuarial measures to highlight the practical utility of the proposed distribution in actuarial science. To further substantiate the applicability of our distribution, we perform a comprehensive regression analysis. The practical relevance of the proposed distribution is demonstrated by modeling a lifetime dataset from the insurance field, where it exhibits a superior fit compared to existing distributions. The findings suggest that the new distribution significantly improves modeling capabilities, making it a valuable tool for theoretical research and practical applications in fields requiring accurate lifetime data modeling.

HeliyonVol. 10(17)
Prince Sattam Bin Abdulaziz University (SA), Tanta University (EG), Imam Mohammad ibn Saud Islamic University (SA), University of Business and Technology (SA), Helwan University (EG), Delta University for Science and Technology (EG)
Prince Sattam bin Abdulaziz University
Openalex Percentile: Top 12%
Statistical Distribution Estimation and Applications
2.13
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