Classification methods applied to credit scoring: systematic review and overall comparison (2016)
- Authors:
- Autor USP: LOUZADA NETO, FRANCISCO - ICMC
- Unidade: ICMC
- DOI: 10.1016/j.sorms.2016.10.001
- Subjects: CLASSIFICAÇÃO; ESTATÍSTICA APLICADA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Surveys in Operations Research and Management Science
- ISSN: 1876-7354
- Volume/Número/Paginação/Ano: v. 21, p. 117-134, 2016
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
LOUZADA, Francisco e ARA, Anderson e FERNANDES, Guilherme B. Classification methods applied to credit scoring: systematic review and overall comparison. Surveys in Operations Research and Management Science, v. 21, p. 117-134, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.sorms.2016.10.001. Acesso em: 09 fev. 2026. -
APA
Louzada, F., Ara, A., & Fernandes, G. B. (2016). Classification methods applied to credit scoring: systematic review and overall comparison. Surveys in Operations Research and Management Science, 21, 117-134. doi:10.1016/j.sorms.2016.10.001 -
NLM
Louzada F, Ara A, Fernandes GB. Classification methods applied to credit scoring: systematic review and overall comparison [Internet]. Surveys in Operations Research and Management Science. 2016 ; 21 117-134.[citado 2026 fev. 09 ] Available from: https://doi.org/10.1016/j.sorms.2016.10.001 -
Vancouver
Louzada F, Ara A, Fernandes GB. Classification methods applied to credit scoring: systematic review and overall comparison [Internet]. Surveys in Operations Research and Management Science. 2016 ; 21 117-134.[citado 2026 fev. 09 ] Available from: https://doi.org/10.1016/j.sorms.2016.10.001 - Novos modelos de regressão binária usando funções de ligação simétricas e assimétricas
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Informações sobre o DOI: 10.1016/j.sorms.2016.10.001 (Fonte: oaDOI API)
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