Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Cibele M. Russo"'
Publikováno v:
Brazilian Journal of Probability and Statistics. 36
Safety-Stock: predicting the demand for supplies in Brazilian hospitals during the COVID-19 pandemic
Autor:
Francisco Louzada, Marcos Jardel Henriques, Oilson Alberto Gonzatto, Maristela Oliveira dos Santos, Diego C. Nascimento, Rafaela Guerra, Diego Assad, Evelyn Keise Bertazo, Cibele M. Russo, José Alberto Cuminato, Caio Paziani Tomazella, Denis Neves
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
BackgroundMany challenges lie ahead when dealing with COVID-19, not only related to the acceleration of the pandemic, but also to the prediction of personal protective equipment consumption to accommodate the explosive demand. Due to this situation o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce89476333cc6f86c665ae77b9077164
Autor:
Jorge L. Bazan, Thaicia S. de Almeida, Mauricio M. Ferreira, Daniel C. F. Guzman, Francisco Louzada, Milton Miranda, Alex L. Mota, Socorro Rangel, Cibele M. Russo, Lucas A. Santos, Franklina Toledo, Maristela O. Santos, José Alberto Cuminato
When dealing with predictive modeling of credit-granting, different types of attributes are used: Cadastral, Behavioral, Business / Proposal, Credit Bureaux, in addition to Public, Private or Subsidiaries Sources. The Postal Address Code (Código de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c1c13fb57e00f80ed3110575096b22f
https://doi.org/10.33774/miir-2021-4lgsp-v3
https://doi.org/10.33774/miir-2021-4lgsp-v3
Autor:
Mauricio M. Ferreira, Francisco Louzada, Milton Miranda, Maristela Oliveira dos Santos, Socorro Rangel, Thaicia S. de Almeida, Cibele M. Russo, Alex L. Mota, Daniel C. F. Guzman, Lucas A. Santos, Jorge Luis Bazán, Franklina Maria Bragion de Toledo
When dealing with predictive modeling on credit-granting, different types of attributes are used: Cadastral, Behavioral, Business / Proposal, Credit Bureaux, in addition to Public, Private or Subsidiaries Sources. The Postal Address Code (Código de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb4ff6f593f2e5d7759bc03597403b8d
https://doi.org/10.33774/miir-2021-4lgsp-v2
https://doi.org/10.33774/miir-2021-4lgsp-v2
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Aiming to avoid the sensitivity in the parameters estimation due to atypical observations or skewness, we develop asymmetric nonlinear regression models with mixed-effects, which provide al...
Autor:
Renata Pontin de Mattos Fortes, Cibele M. Russo, André Pimenta Freire, Silvana Maria Affonso de Lara
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
The goal of the present work is to investigate the potential acceptance of a set of web interaction aids by older adults, in order to help them overcome difficulties associated with ageing and help them continue using the web as a source of informati
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Background: Although impacts of edge effects on forest ecosystems are well known, their consequences on savannas have rarely been explored.Aims: To investigate the influence of edge effects on the plant community and microclimate of a cerrado fragmen
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Statistical Modelling, 17(6), 449-467. SAGE Publications Ltd
Universidade de São Paulo (USP)
instacron:USP
Statistical Modelling, 17(6), 449-467. SAGE Publications Ltd
Modelling the concentration of a drug in the bloodstream over time is usually done using compartment models. In pharmacokinetic data, they turn into highly nonlinear mixed-effects models (NLMEMs) when we take the heterogeneity between subjects into a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::863367299b693b418cecdd3f7f7f5501
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
In this paper, we propose nonlinear elliptical models for correlated data with heteroscedastic and/or autoregressive structures. Our aim is to extend the models proposed by Russo et al. 22 by considering a more sophisticated scale structure to deal w
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
The issue of assessing variance components is essential in deciding on the inclusion of random effects in the context of mixed models. In this work we discuss this problem by supposing nonlinear elliptical models for correlated data by using the scor