An extended Rayleigh model: Properties, regression and COVID-19 application
Methodology
2022-04-12 v1
Abstract
We define a four-parameter extended Rayleigh distribution, and obtain several mathematical properties including a stochastic representation. We construct a regression from the new distribution. The estimation is done by maximum likelihood. The utility of the new models is proved in two real applications.
Cite
@article{arxiv.2204.05214,
title = {An extended Rayleigh model: Properties, regression and COVID-19 application},
author = {Gauss M. Cordeiro and Gabriela M. Rodrigues and Edwin M. M. Ortega and Luís H. de Santana and Roberto Vila},
journal= {arXiv preprint arXiv:2204.05214},
year = {2022}
}
Comments
21 pages, 6 figures