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Artigo de periodico
Performance of asymmetric links and correction methods for imbalanced data in binary regression (2019)
Huayanay, Alex de la Cruz; Bazán Guzmán, Jorge Luis ; Cancho, Vicente Garibay ; Dey, Dipak K.
Source: Journal of Statistical Computation and Simulation. Unidade: ICMC
Subjects: ANÁLISE DE DADOS, REGRESSÃO LOGÍSTICA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), MODELOS LINEARES GENERALIZADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 01 nov. 2024.
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 2024 nov. 01 ] 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 2024 nov. 01 ] Available from: https://doi.org/10.1080/00949655.2019.1593984
Artigo de periodico
A New lifetime model for multivariate survival data with a surviving fraction (2016)
Cancho, Vicente Garibay ; Louzada, Francisco ; Dey, Dipak K.; Barriga, Gladys D. C
Source: Journal of Statistical Computation and Simulation. Unidade: ICMC
Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, ESTATÍSTICA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA, INFERÊNCIA BAYESIANA, REGRESSÃO LINEAR, INFERÊNCIA PARAMÉTRICA, PROBABILIDADE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CANCHO, Vicente Garibay et al. A New lifetime model for multivariate survival data with a surviving fraction. Journal of Statistical Computation and Simulation, v. 86, n. 2, p. 279-292, 2016Tradução . . Disponível em: https://doi.org/10.1080/00949655.2015.1007983. Acesso em: 01 nov. 2024.
APA
Cancho, V. G., Louzada, F., Dey, D. K., & Barriga, G. D. C. (2016). A New lifetime model for multivariate survival data with a surviving fraction. Journal of Statistical Computation and Simulation, 86( 2), 279-292. doi:10.1080/00949655.2015.1007983
NLM
Cancho VG, Louzada F, Dey DK, Barriga GDC. A New lifetime model for multivariate survival data with a surviving fraction [Internet]. Journal of Statistical Computation and Simulation. 2016 ; 86( 2): 279-292.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/00949655.2015.1007983
Vancouver
Cancho VG, Louzada F, Dey DK, Barriga GDC. A New lifetime model for multivariate survival data with a surviving fraction [Internet]. Journal of Statistical Computation and Simulation. 2016 ; 86( 2): 279-292.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/00949655.2015.1007983
Artigo de periodico
Unified multivariate survival model with a surviving fraction: an application to a Brazilian customer churn data (2016)
Cancho, Vicente Garibay ; Dey, Dipak K.; Louzada, Francisco
Source: Journal of Applied Statistics. 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
CANCHO, Vicente Garibay e DEY, Dipak K. e LOUZADA, Francisco. Unified multivariate survival model with a surviving fraction: an application to a Brazilian customer churn data. Journal of Applied Statistics, v. 43, n. 3, p. 572-584, 2016Tradução . . Disponível em: https://doi.org/10.1080/02664763.2015.1071341. Acesso em: 01 nov. 2024.
APA
Cancho, V. G., Dey, D. K., & Louzada, F. (2016). Unified multivariate survival model with a surviving fraction: an application to a Brazilian customer churn data. Journal of Applied Statistics, 43( 3), 572-584. doi:10.1080/02664763.2015.1071341
NLM
Cancho VG, Dey DK, Louzada F. Unified multivariate survival model with a surviving fraction: an application to a Brazilian customer churn data [Internet]. Journal of Applied Statistics. 2016 ; 43( 3): 572-584.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/02664763.2015.1071341
Vancouver
Cancho VG, Dey DK, Louzada F. Unified multivariate survival model with a surviving fraction: an application to a Brazilian customer churn data [Internet]. Journal of Applied Statistics. 2016 ; 43( 3): 572-584.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/02664763.2015.1071341
Artigo de periodico
Long-term survival models with latent activation under a flexible family of distributions (2013)
Cancho, Vicente Garibay ; Castro, Mário de ; Dey, Dipak K.
Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, ESTATÍSTICA APLICADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CANCHO, Vicente Garibay e CASTRO, Mário de e DEY, Dipak K. Long-term survival models with latent activation under a flexible family of distributions. Brazilian Journal of Probability and Statistics, v. 27, n. 4, p. 585-600, 2013Tradução . . Disponível em: https://doi.org/10.1214/12-bjps186. Acesso em: 01 nov. 2024.
APA
Cancho, V. G., Castro, M. de, & Dey, D. K. (2013). Long-term survival models with latent activation under a flexible family of distributions. Brazilian Journal of Probability and Statistics, 27( 4), 585-600. doi:10.1214/12-bjps186
NLM
Cancho VG, Castro M de, Dey DK. Long-term survival models with latent activation under a flexible family of distributions [Internet]. Brazilian Journal of Probability and Statistics. 2013 ; 27( 4): 585-600.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1214/12-bjps186
Vancouver
Cancho VG, Castro M de, Dey DK. Long-term survival models with latent activation under a flexible family of distributions [Internet]. Brazilian Journal of Probability and Statistics. 2013 ; 27( 4): 585-600.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1214/12-bjps186
Artigo de periodico
Robust linear mixed models with skew-normal independent distributions form a bayesian perspective (2009)
Lachos, Victor H.; Dey, Dipak K.; Cancho, Vicente Garibay
Source: Journal of Statistical Planning and Inference. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, REGRESSÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LACHOS, Victor H. e DEY, Dipak K. e CANCHO, Vicente Garibay. Robust linear mixed models with skew-normal independent distributions form a bayesian perspective. Journal of Statistical Planning and Inference, v. 139, n. 12, p. 4098-4110, 2009Tradução . . Disponível em: https://doi.org/10.1016/j.jspi.2009.05.040. Acesso em: 01 nov. 2024.
APA
Lachos, V. H., Dey, D. K., & Cancho, V. G. (2009). Robust linear mixed models with skew-normal independent distributions form a bayesian perspective. Journal of Statistical Planning and Inference, 139( 12), 4098-4110. doi:10.1016/j.jspi.2009.05.040
NLM
Lachos VH, Dey DK, Cancho VG. Robust linear mixed models with skew-normal independent distributions form a bayesian perspective [Internet]. Journal of Statistical Planning and Inference. 2009 ; 139( 12): 4098-4110.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1016/j.jspi.2009.05.040
Vancouver
Lachos VH, Dey DK, Cancho VG. Robust linear mixed models with skew-normal independent distributions form a bayesian perspective [Internet]. Journal of Statistical Planning and Inference. 2009 ; 139( 12): 4098-4110.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1016/j.jspi.2009.05.040

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