Source: Pesquisa Operacional. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA, ESTATÍSTICA APLICADA, REGRESSÃO LINEAR, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, INFERÊNCIA ESTATÍSTICA
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: 19 set. 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:10.1590/0101-7438.2015.035.01.0039NLM
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 set. 19 ] Available from: https://doi.org/10.1590/0101-7438.2015.035.01.0039Vancouver
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 set. 19 ] Available from: https://doi.org/10.1590/0101-7438.2015.035.01.0039