An extended weighted exponential distribution and its associated regression model

Journal article

Authors/Editors

SUDCHAI BOONTO

Strategic Research Themes

Modeling Design and Optimization (Computational Science and Engineering)

Publication Details

Author list: Atikankul, Yupapin; Boonto, Sudchai

Publisher: Prince of Songkla University

Publication year: 2024

Journal: Songklanakarin Journal of Science and Technology (SJST) (0125-3395)

Volume number: 46

Issue number: 1

Start page: 45

End page: 52

Number of pages: 8

ISSN: 0125-3395

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188640695&partnerID=40&md5=5fd782ae46eb682af91db8b13b1ebab3

Languages: English-Great Britain (EN-GB)

Abstract

In this paper, we propose a new distribution for survival data. The distribution is a new generalization of the weighted exponential distribution in the Marshall-Olkin family. Statistical properties of the proposed distribution are studied and its sub-models are presented. The unknown parameters are estimated via a Bayesian approach. Simulation studies are conducted to assess the performance of the Bayesian estimator. Complete and censored data sets are analyzed to illustrate the potential of the proposed distribution. We also develop a regression model based on the proposed distribution. Finally, we compare the proposed model with other models. © 2024, Prince of Songkla University. All rights reserved.

Keywords

censored data, Marshall-Olkin family, weighted exponential distribution