A New Bimodal Maxwell Regression Model With Engineering Applications

Authors

Fa ́bio Prataviera, Departamento de Cieˆncias Exatas, ESALQ, Universidade de Sa ̃o Paulo, Piracicaba, SP, BrazilFollow
Edwin M. M. Ortega, Departamento de Cieˆncias Exatas, ESALQ, Universidade de Sa ̃o Paulo, Piracicaba, SP, BrazilFollow
Gauss M. Cordeiro, Departamento de Estat ́ıstica, Universidade Federal de Pernambuco, Recife, PE, BrazilFollow

Author Country (or Countries)

Brazil

Abstract

We define the generalized odd log-logistic Maxwell distribution and propose a parametric regression model based on the new distribution with three systematic components for its parameters. Some properties and maximum likelihood estimation are addressed and various simulations for different parameter settings, systematic components and sample sizes are performed. Three applications to real data sets in engineering (strength and mechanics of materials) empirically prove the usefulness of the proposed models.

Digital Object Identifier (DOI)

http://dx.doi.org/10.18576/amis/140509

Recommended Citation

́bio Prataviera, Fa; M. M. Ortega, Edwin; and M. Cordeiro, Gauss (2020) "A New Bimodal Maxwell Regression Model With Engineering Applications," Applied Mathematics & Information Sciences: Vol. 14: Iss. 5, Article 9.
DOI: http://dx.doi.org/10.18576/amis/140509
Available at: https://digitalcommons.aaru.edu.jo/amis/vol14/iss5/9