The generalized Marshall-Olkin Lomax distribution with applications to AIDS and COVID-19 data

Fuente: arXiv
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Hauptverfasser: Ferreira, Alexsandro A., Cordeiro, Gauss M.
Format: Preprint
Veröffentlicht: 2025
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author Ferreira, Alexsandro A.
Cordeiro, Gauss M.
author_facet Ferreira, Alexsandro A.
Cordeiro, Gauss M.
contents The generalized Marshall-Olkin Lomax distribution is introduced, and its properties are easily obtained from those of the Lomax distribution. A regression model for censored data is proposed. The parameters are estimated through maximum likelihood, and consistency is verified by simulations. Three real datasets are selected to illustrate the superiority of the new models compared to those from two well-known classes.
format Preprint
id arxiv_https___arxiv_org_abs_2510_13605
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle The generalized Marshall-Olkin Lomax distribution with applications to AIDS and COVID-19 data
Ferreira, Alexsandro A.
Cordeiro, Gauss M.
Statistics Theory
The generalized Marshall-Olkin Lomax distribution is introduced, and its properties are easily obtained from those of the Lomax distribution. A regression model for censored data is proposed. The parameters are estimated through maximum likelihood, and consistency is verified by simulations. Three real datasets are selected to illustrate the superiority of the new models compared to those from two well-known classes.
title The generalized Marshall-Olkin Lomax distribution with applications to AIDS and COVID-19 data
topic Statistics Theory
url https://arxiv.org/abs/2510.13605