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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: 24 nov. 2025.
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 2025 nov. 24 ] 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 2025 nov. 24 ] Available from: https://doi.org/10.1080/00949655.2019.1593984
Artigo de periodico
Zero-spiked regression models generated by gamma random variables with application in the resin oil production (2019)
Hashimoto, Elizabeth M; Ortega, Edwin Moises Marcos; Cordeiro, Gauss M; Cancho, Vicente Garibay ; Klauberg, Carine
Source: Journal of Statistical Computation and Simulation. Unidade: ESALQ
Subjects: REGRESSÃO LINEAR, ÓLEOS VEGETAIS, COPAÍBA, RESINAS VEGETAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HASHIMOTO, Elizabeth M et al. Zero-spiked regression models generated by gamma random variables with application in the resin oil production. Journal of Statistical Computation and Simulation, v. 89, n. 1, p. 52-70, 2019Tradução . . Disponível em: https://doi.org/10.1080/00949655.2018.1534116. Acesso em: 24 nov. 2025.
APA
Hashimoto, E. M., Ortega, E. M. M., Cordeiro, G. M., Cancho, V. G., & Klauberg, C. (2019). Zero-spiked regression models generated by gamma random variables with application in the resin oil production. Journal of Statistical Computation and Simulation, 89( 1), 52-70. doi:10.1080/00949655.2018.1534116
NLM
Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Klauberg C. Zero-spiked regression models generated by gamma random variables with application in the resin oil production [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 1): 52-70.[citado 2025 nov. 24 ] Available from: https://doi.org/10.1080/00949655.2018.1534116
Vancouver
Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Klauberg C. Zero-spiked regression models generated by gamma random variables with application in the resin oil production [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 1): 52-70.[citado 2025 nov. 24 ] Available from: https://doi.org/10.1080/00949655.2018.1534116
Artigo de periodico
Zero-spiked regression models generated by gamma random variables with application in the resin oil production (2019)
Hashimoto, Elizabeth Mie; Ortega, Edwin Moisés Marcos; Cordeiro, Gauss Moutinho; Cancho, Vicente Garibay ; Klauberg, Carine
Source: Journal of Statistical Computation and Simulation. Unidades: ESALQ, ICMC
Subjects: INFERÊNCIA ESTATÍSTICA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HASHIMOTO, Elizabeth Mie et al. Zero-spiked regression models generated by gamma random variables with application in the resin oil production. Journal of Statistical Computation and Simulation, v. 89, n. 1, p. 52-70, 2019Tradução . . Disponível em: https://doi.org/10.1080/00949655.2018.1534116. Acesso em: 24 nov. 2025.
APA
Hashimoto, E. M., Ortega, E. M. M., Cordeiro, G. M., Cancho, V. G., & Klauberg, C. (2019). Zero-spiked regression models generated by gamma random variables with application in the resin oil production. Journal of Statistical Computation and Simulation, 89( 1), 52-70. doi:10.1080/00949655.2018.1534116
NLM
Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Klauberg C. Zero-spiked regression models generated by gamma random variables with application in the resin oil production [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 1): 52-70.[citado 2025 nov. 24 ] Available from: https://doi.org/10.1080/00949655.2018.1534116
Vancouver
Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Klauberg C. Zero-spiked regression models generated by gamma random variables with application in the resin oil production [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 1): 52-70.[citado 2025 nov. 24 ] Available from: https://doi.org/10.1080/00949655.2018.1534116
Artigo de periodico
Bartlett adjustments for two-parameter exponential family models (2003)
Aubin, Elisete da Conceição Quintaneiro; Cordeiro, Gauss Moutinho
Source: Journal of Statistical Computation and Simulation. Unidade: IME
Assunto: DISTRIBUIÇÕES (PROBABILIDADE)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AUBIN, Elisete da Conceição Quintaneiro e CORDEIRO, Gauss Moutinho. Bartlett adjustments for two-parameter exponential family models. Journal of Statistical Computation and Simulation, v. 73, n. 11, p. 807-817, 2003Tradução . . Disponível em: https://doi.org/10.1080/00949650310001606857. Acesso em: 24 nov. 2025.
APA
Aubin, E. da C. Q., & Cordeiro, G. M. (2003). Bartlett adjustments for two-parameter exponential family models. Journal of Statistical Computation and Simulation, 73( 11), 807-817. doi:10.1080/00949650310001606857
NLM
Aubin E da CQ, Cordeiro GM. Bartlett adjustments for two-parameter exponential family models [Internet]. Journal of Statistical Computation and Simulation. 2003 ; 73( 11): 807-817.[citado 2025 nov. 24 ] Available from: https://doi.org/10.1080/00949650310001606857
Vancouver
Aubin E da CQ, Cordeiro GM. Bartlett adjustments for two-parameter exponential family models [Internet]. Journal of Statistical Computation and Simulation. 2003 ; 73( 11): 807-817.[citado 2025 nov. 24 ] Available from: https://doi.org/10.1080/00949650310001606857
Artigo de periodico
Improved estimators for generalized linear models with dispersion covariates (1998)
Botter, Denise Aparecida ; Cordeiro, Gauss Moutinho
Source: Journal of Statistical Computation and Simulation. Unidade: IME
Subjects: MODELOS LINEARES GENERALIZADOS, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BOTTER, Denise Aparecida e CORDEIRO, Gauss Moutinho. Improved estimators for generalized linear models with dispersion covariates. Journal of Statistical Computation and Simulation, v. 62, n. 1/2, p. 91-104, 1998Tradução . . Disponível em: https://doi.org/10.1080/00949659808811926. Acesso em: 24 nov. 2025.
APA
Botter, D. A., & Cordeiro, G. M. (1998). Improved estimators for generalized linear models with dispersion covariates. Journal of Statistical Computation and Simulation, 62( 1/2), 91-104. doi:10.1080/00949659808811926
NLM
Botter DA, Cordeiro GM. Improved estimators for generalized linear models with dispersion covariates [Internet]. Journal of Statistical Computation and Simulation. 1998 ; 62( 1/2): 91-104.[citado 2025 nov. 24 ] Available from: https://doi.org/10.1080/00949659808811926
Vancouver
Botter DA, Cordeiro GM. Improved estimators for generalized linear models with dispersion covariates [Internet]. Journal of Statistical Computation and Simulation. 1998 ; 62( 1/2): 91-104.[citado 2025 nov. 24 ] Available from: https://doi.org/10.1080/00949659808811926

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