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Filtros : "Indexado no SCOPUS" "SUZUKI, ADRIANO KAMIMURA" "2015" Removido: "FMRP-RNC" Limpar

Filtros

USP affiliated authors
- louzada neto, francisco (~2)
- suzuki, adriano kamimura (~2)
Date published
- 2015 (~2)
Subjects
- estatística aplicada (2)
- inferência bayesiana (2)
- análise de regressão e de correlação (1)
- estatística (1)
- inferência estatística (1)

Artigo de periodico
A simulation-based methodology for predicting football match outcomes considering experts’ opinions: the 2010 and 2014 football world cup cases (2015)
Louzada, Francisco ; Suzuki, Adriano Kamimura ; Salasar, Luis E. B; Ara, Anderson; Leite, Jose Galvao
Source: Pesquisa Operacional. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOUZADA, Francisco et al. A simulation-based methodology for predicting football match outcomes considering experts’ opinions: the 2010 and 2014 football world cup cases. Pesquisa Operacional, v. 35, n. 3, p. 577-598, 2015Tradução . . Disponível em: https://doi.org/10.1590/0101-7438.2015.035.03.0577. Acesso em: 20 ago. 2024.
APA
Louzada, F., Suzuki, A. K., Salasar, L. E. B., Ara, A., & Leite, J. G. (2015). A simulation-based methodology for predicting football match outcomes considering experts’ opinions: the 2010 and 2014 football world cup cases. Pesquisa Operacional, 35( 3), 577-598. doi:10.1590/0101-7438.2015.035.03.0577
NLM
Louzada F, Suzuki AK, Salasar LEB, Ara A, Leite JG. A simulation-based methodology for predicting football match outcomes considering experts’ opinions: the 2010 and 2014 football world cup cases [Internet]. Pesquisa Operacional. 2015 ; 35( 3): 577-598.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1590/0101-7438.2015.035.03.0577
Vancouver
Louzada F, Suzuki AK, Salasar LEB, Ara A, Leite JG. A simulation-based methodology for predicting football match outcomes considering experts’ opinions: the 2010 and 2014 football world cup cases [Internet]. Pesquisa Operacional. 2015 ; 35( 3): 577-598.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1590/0101-7438.2015.035.03.0577
Artigo de periodico
Credit scoring modeling with state-dependent sample selection: a comparison study with the usual logistic modeling (2015)
Ferreira, Paulo H.; Louzada, Francisco ; Diniz, Carlos Alberto Ribeiro
Source: Pesquisa Operacional. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA, ESTATÍSTICA APLICADA, REGRESSÃO LINEAR, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, INFERÊNCIA ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERREIRA, Paulo H. e LOUZADA, Francisco e DINIZ, Carlos Alberto Ribeiro. Credit scoring modeling with state-dependent sample selection: a comparison study with the usual logistic modeling. Pesquisa Operacional, v. 35, n. 1, p. 39-56, 2015Tradução . . Disponível em: https://doi.org/10.1590/0101-7438.2015.035.01.0039. Acesso em: 20 ago. 2024.
APA
Ferreira, P. H., Louzada, F., & Diniz, C. A. R. (2015). Credit scoring modeling with state-dependent sample selection: a comparison study with the usual logistic modeling. Pesquisa Operacional, 35( 1), 39-56. doi:10.1590/0101-7438.2015.035.01.0039
NLM
Ferreira PH, Louzada F, Diniz CAR. Credit scoring modeling with state-dependent sample selection: a comparison study with the usual logistic modeling [Internet]. Pesquisa Operacional. 2015 ; 35( 1): 39-56.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1590/0101-7438.2015.035.01.0039
Vancouver
Ferreira PH, Louzada F, Diniz CAR. Credit scoring modeling with state-dependent sample selection: a comparison study with the usual logistic modeling [Internet]. Pesquisa Operacional. 2015 ; 35( 1): 39-56.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1590/0101-7438.2015.035.01.0039

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