The Unit Gompertz Regression Model with Applications to COVID-19 Data in Brazil

In this paper, based on the unit Gompertz distribution, a new regression model for the unit interval has been introduced. In this model, the parameterization is done based on the median of the distribution. The estimation of the model parameters is done by maximum likelihood method. Monte Carlo simulations, to show the performance of maximum likelihood estimators are performed. Finally, using Covid-19 data in Brazilian capital cities, the unit Gompertz regression model performance better than the popular beta and Kumaraswamy regression models.

Authors

Publication Details

Journal
Journal of Mathematical & Computer Applications
Published
2024-08-09
DOI
https://doi.org/10.47363/jmca/2024(3)183
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
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article

The Unit Gompertz Regression Model with Applications to COVID-19 Data in Brazil

Lucas David Ribeiro-Reis
Journal of Mathematical & Computer Applications
COVID-19 epidemiological studies
article

The Unit Gompertz Regression Model with Applications to COVID-19 Data in Brazil

Lucas David Ribeiro-Reis
article en

Abstract

In this paper, based on the unit Gompertz distribution, a new regression model for the unit interval has been introduced. In this model, the parameterization is done based on the median of the distribution. The estimation of the model parameters is done by maximum likelihood method. Monte Carlo simulations, to show the performance of maximum likelihood estimators are performed. Finally, using Covid-19 data in Brazilian capital cities, the unit Gompertz regression model performance better than the popular beta and Kumaraswamy regression models.

Journal of Mathematical & Computer Applications
Sustainable cities and communities
Openalex Percentile: Top 86%
COVID-19 epidemiological studies
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The Unit Gompertz Regression Model with Applications to COVID-19 Data in Brazil — Lucas David Ribeiro-Reis · Journal of Mathematical & Computer Applications (2024) | TGRS Research Map | TGRS