A novel Class of Lomax Parameters Estimation Using Bayesian and Non-Bayesian Approach

Authors

  • Salma Omar Bleed Department of Statistics, College of Science, Al-Asmarya Islamic University, Zliten, Libya
  • Aaida Omran Omar saddi Division of Statistics, Department of Mathematical Sciences, Libyan Academy, Misurata, Libya

Keywords:

Bayesian approach, DUS method, Lomax distribution, Monte Carlo, Risk function

Abstract

A new class of Lomax distribution has been introduced using DUS method, called the L-Lomax distribution. Mathematical formulations with some properties of L-Lomax distribution are provided. Maximum likelihood estimators and Bayesian estimators, corresponding to two informative priors gamma and exponential based on complete and incomplete data, are obtained. Monte Carlo simulations for different L-Lomax generated random samples ranging from 500 to 50000 were performed. Additionally, various informative priors such as exponential, Weibull, gamma, beta and chi-square are used to illustrate the flexibility of the proposed distribution among other competitive models.

Dimensions

Published

2025-09-16

How to Cite

Salma Omar Bleed, & Aaida Omran Omar saddi. (2025). A novel Class of Lomax Parameters Estimation Using Bayesian and Non-Bayesian Approach. African Journal of Advanced Pure and Applied Sciences (AJAPAS), 4(3), 500–510. Retrieved from https://www.aaasjournals.com/index.php/ajapas/article/view/1453

Issue

Volume 4, Issue 3, 2025

Section

Articles
Copyright & Licensing
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.