A New Extended Weibull Distribution with Application to Influenza and Hepatitis Data

The Weibull is a popular distribution that models monotonous failure rate data. In this work, we introduce the four-parameter Weibull extended Weibull distribution that presents greater flexibility, thus modeling data with bathtub-shaped and unimodal failure rate. Some of its mathematical properties...

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Main Authors: Gauss M. Cordeiro, Elisângela C. Biazatti, Luís H. de Santana
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Stats
Subjects:
Online Access:https://www.mdpi.com/2571-905X/6/2/42
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author Gauss M. Cordeiro
Elisângela C. Biazatti
Luís H. de Santana
author_facet Gauss M. Cordeiro
Elisângela C. Biazatti
Luís H. de Santana
author_sort Gauss M. Cordeiro
collection DOAJ
description The Weibull is a popular distribution that models monotonous failure rate data. In this work, we introduce the four-parameter Weibull extended Weibull distribution that presents greater flexibility, thus modeling data with bathtub-shaped and unimodal failure rate. Some of its mathematical properties such as quantile function, linear representation and moments are provided. The maximum likelihood estimation is adopted to estimate its parameters, and the log-Weibull extended Weibull regression model is presented. In addition, some simulations are carried out to show the consistency of the estimators. We prove the greater flexibility and performance of this distribution and the regression model through applications to influenza and hepatitis data. The new models perform much better than some of their competitors.
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spelling doaj.art-b8958b067dbd47199ee36662edadaa1a2023-11-18T12:39:20ZengMDPI AGStats2571-905X2023-05-016265767310.3390/stats6020042A New Extended Weibull Distribution with Application to Influenza and Hepatitis DataGauss M. Cordeiro0Elisângela C. Biazatti1Luís H. de Santana2Department of Statistics, Federal University of Pernambuco, Recife 50670-901, BrazilDepartment of Mathematics and Statistics, Federal University of Rondônia, Ji-Paraná 76900-726, BrazilDepartment of Technology, State University of Maringá, Umuarama 87506-370, BrazilThe Weibull is a popular distribution that models monotonous failure rate data. In this work, we introduce the four-parameter Weibull extended Weibull distribution that presents greater flexibility, thus modeling data with bathtub-shaped and unimodal failure rate. Some of its mathematical properties such as quantile function, linear representation and moments are provided. The maximum likelihood estimation is adopted to estimate its parameters, and the log-Weibull extended Weibull regression model is presented. In addition, some simulations are carried out to show the consistency of the estimators. We prove the greater flexibility and performance of this distribution and the regression model through applications to influenza and hepatitis data. The new models perform much better than some of their competitors.https://www.mdpi.com/2571-905X/6/2/42maximum likelihood estimationmomentMonte Carlo simulationregressionWeibull-G class
spellingShingle Gauss M. Cordeiro
Elisângela C. Biazatti
Luís H. de Santana
A New Extended Weibull Distribution with Application to Influenza and Hepatitis Data
Stats
maximum likelihood estimation
moment
Monte Carlo simulation
regression
Weibull-G class
title A New Extended Weibull Distribution with Application to Influenza and Hepatitis Data
title_full A New Extended Weibull Distribution with Application to Influenza and Hepatitis Data
title_fullStr A New Extended Weibull Distribution with Application to Influenza and Hepatitis Data
title_full_unstemmed A New Extended Weibull Distribution with Application to Influenza and Hepatitis Data
title_short A New Extended Weibull Distribution with Application to Influenza and Hepatitis Data
title_sort new extended weibull distribution with application to influenza and hepatitis data
topic maximum likelihood estimation
moment
Monte Carlo simulation
regression
Weibull-G class
url https://www.mdpi.com/2571-905X/6/2/42
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