On the impact of disproportional samples in credit scoring models: an application to a brazilian bank data (2012)
- Authors:
- Autor USP: LOUZADA NETO, FRANCISCO - ICMC
- Unidade: ICMC
- DOI: 10.1016/j.eswa.2012.01.134
- Subjects: ESTATÍSTICA APLICADA; INFERÊNCIA BAYESIANA; INFERÊNCIA ESTATÍSTICA
- Language: Inglês
- Imprenta:
- Source:
- Título: Expert Systems with Applications
- ISSN: 0957-4174
- Volume/Número/Paginação/Ano: v. 39, n. 9, p. 8071-8078, jul. 2012
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
LOUZADA, Francisco e SILVA, Paulo Henrique Ferreira da e DINIZ, Carlos A. R. On the impact of disproportional samples in credit scoring models: an application to a brazilian bank data. Expert Systems with Applications, v. 39, n. 9, p. 8071-8078, 2012Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2012.01.134. Acesso em: 04 out. 2024. -
APA
Louzada, F., Silva, P. H. F. da, & Diniz, C. A. R. (2012). On the impact of disproportional samples in credit scoring models: an application to a brazilian bank data. Expert Systems with Applications, 39( 9), 8071-8078. doi:10.1016/j.eswa.2012.01.134 -
NLM
Louzada F, Silva PHF da, Diniz CAR. On the impact of disproportional samples in credit scoring models: an application to a brazilian bank data [Internet]. Expert Systems with Applications. 2012 ; 39( 9): 8071-8078.[citado 2024 out. 04 ] Available from: https://doi.org/10.1016/j.eswa.2012.01.134 -
Vancouver
Louzada F, Silva PHF da, Diniz CAR. On the impact of disproportional samples in credit scoring models: an application to a brazilian bank data [Internet]. Expert Systems with Applications. 2012 ; 39( 9): 8071-8078.[citado 2024 out. 04 ] Available from: https://doi.org/10.1016/j.eswa.2012.01.134 - Cooperative parallel particle filters for online model selection and applications to urban mobility
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Informações sobre o DOI: 10.1016/j.eswa.2012.01.134 (Fonte: oaDOI API)
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