Performance of asymmetric links and correction methods for imbalanced data in binary regression (2019)
- Authors:
- USP affiliated authors: GUZMÁN, JORGE LUIS BAZÁN - ICMC ; CANCHO, VICENTE GARIBAY - ICMC
- Unidade: ICMC
- DOI: 10.1080/00949655.2019.1593984
- Subjects: ANÁLISE DE DADOS; REGRESSÃO LOGÍSTICA; ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO; PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS); MODELOS LINEARES GENERALIZADOS
- Keywords: Asymmetric link; binary regression; imbalanced data; predictive evaluation; quantile residuals; similarity measures
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Journal of Statistical Computation and Simulation
- ISSN: 0094-9655
- Volume/Número/Paginação/Ano: v. 89, n. 9, p. 1694-1714, Mar. 2019
- Status:
- Nenhuma versão em acesso aberto identificada
-
ABNT
HUAYANAY, Alex de la Cruz et al. Performance of asymmetric links and correction methods for imbalanced data in binary regression. Journal of Statistical Computation and Simulation, v. 89, n. 9, p. 1694-1714, 2019Tradução . . Disponível em: https://doi.org/10.1080/00949655.2019.1593984. Acesso em: 11 abr. 2026. -
APA
Huayanay, A. de la C., Bazán Guzmán, J. L., Cancho, V. G., & Dey, D. K. (2019). Performance of asymmetric links and correction methods for imbalanced data in binary regression. Journal of Statistical Computation and Simulation, 89( 9), 1694-1714. doi:10.1080/00949655.2019.1593984 -
NLM
Huayanay A de la C, Bazán Guzmán JL, Cancho VG, Dey DK. Performance of asymmetric links and correction methods for imbalanced data in binary regression [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 9): 1694-1714.[citado 2026 abr. 11 ] Available from: https://doi.org/10.1080/00949655.2019.1593984 -
Vancouver
Huayanay A de la C, Bazán Guzmán JL, Cancho VG, Dey DK. Performance of asymmetric links and correction methods for imbalanced data in binary regression [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 9): 1694-1714.[citado 2026 abr. 11 ] Available from: https://doi.org/10.1080/00949655.2019.1593984 - A new class of regression model for a bounded response with application in the study of the incidence rate of colorectal cancer
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