The Dual-Dagum family of distributions: Properties, regression and applications to COVID-19 data-Reference-Cited by-同舟云学术

The Dual-Dagum family of distributions: Properties, regression and applications to COVID-19 data

Published:2022-08-26 Issue:3 Volume:17 Page:199-210
ISSN:1574-1699
Container-title:Model Assisted Statistics and Applications
language:
Short-container-title:MAS

Author:

Biazatti Elisângela Candeias¹²,Cordeiro Gauss Moutinho¹,de Lima Maria do Carmo Soares¹

Affiliation:

1. Department of Statistics, Federal University of Pernambuco, Recife, PE, Brazil

2. Department of Mathematical and Statistics, Federal University of Rondônia, Ji-Paraná, RO, Brazil

Abstract

A new Dual-Dagum-G (DDa-G) family is defined as a good competitor to the Beta-G and Kumaraswamy-G generators, which are widely applied in several areas. Some of its mathematical properties are addressed. We obtain the maximum likelihood estimates, and some simulations prove the consistency of the estimates. The flexibility of this family is shown through a COVID-19 data set. We propose a new regression based on a special distribution of the DDa-G family, and provide a sensitivity analysis by using data from 1,951 COVID-19 patients collected in Curitiba, Brazil.

Publisher

IOS Press

Subject

Applied Mathematics,Modeling and Simulation,Statistics and Probability

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