An Improved Approach Based on a New Laplace Model Using Classical and Risk Measures

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Authors: Morad Alizadeh, Gauss M. Cordeiro, Jondeep Das, Partha Jyoti Hazarika, Javier E. Contreras‐Reyes, Mohamed S. Hamed, Haitham M. Yousof
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Abstract

In this paper, we propose a generalized odd log-logistic standard Laplace model and study some of its main properties. The novelty of this model is based on classical and risk-based measures to effectively analyze the body mass index (BMI) data. The analysis underscores the importance of a multidisciplinary approach in addressing challenges related to health, performance, and risk management. The proposed methodology not only is helpful to understand the variability of BMI measurements, but also prove how common statistical models considered in financial field can be effectively adapted to other ones, offering insights that drive informed decision-making and strategic planning.

Fields of Study & Subjects

Statistical Distribution Estimation and Applications Probability and Statistical Research Probability and Risk Models

Publication details

Journal / source
Mathematical and Computational Applications
Volume
31
Issue
1
Pages
14–14
Publication date
17 January 2026
Language
EN