Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Maria do Carmo Soares de Lima"'
Publikováno v:
Mathematics, Vol 12, Iss 21, p 3386 (2024)
Dengue fever remains a significant epidemiological challenge globally, particularly in Brazil, where recurring outbreaks strain healthcare systems. Traditional statistical models often struggle to accurately capture the complexities of dengue case di
Externí odkaz:
https://doaj.org/article/2f064303d57f48ffaf1b7eed79e44e91
Autor:
Daniele de Brito Trindade, Patrícia Leone Espinheira, Klaus Leite Pinto Vasconcellos, Jalmar Manuel Farfán Carrasco, Maria do Carmo Soares de Lima
Publikováno v:
PLoS ONE, Vol 16, Iss 7, p e0254103 (2021)
We propose in this paper a general class of nonlinear beta regression models with measurement errors. The motivation for proposing this model arose from a real problem we shall discuss here. The application concerns a usual oil refinery process where
Externí odkaz:
https://doaj.org/article/c38563fc9bc44265a6e523317052b2b9
Publikováno v:
Model Assisted Statistics and Applications. 17:199-210
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, an
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USP
Universidade de São Paulo (USP)
instacron:USP
Repositório Institucional da UFSCAR
Universidade Federal de São Carlos (UFSCAR)
instacron:UFSCAR
Universidade de São Paulo (USP)
instacron:USP
Repositório Institucional da UFSCAR
Universidade Federal de São Carlos (UFSCAR)
instacron:UFSCAR
Outra In this dissertation, we propose new univariate continuous distributions for modeling asymmetrical data. Initially, starting from a non-linear parametric transformation of an uniform random variable, we propose a new asymmetric one-parameter di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e12eacbbc2b5ee51751dc2d0b82c0ce