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Artigo de periodico
Properties of the Transmuted Burr XII Distribution, Regression and its Applications (2018)
Afify, Ahmed Z; Cordeiro, Gauss M; Bourguignon, Marcelo; Ortega, Edwin M.M
Source: Journal of Data Science. Unidade: ESALQ
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), ENTROPIA, MODELOS MATEMÁTICOS, REGRESSÃO LINEAR, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AFIFY, Ahmed Z et al. Properties of the Transmuted Burr XII Distribution, Regression and its Applications. Journal of Data Science, v. 16, n. 3, p. 485-510, 2018Tradução . . Disponível em: https://doi.org/10.6339/JDS.201807_16(3).0003. Acesso em: 18 nov. 2024.
APA
Afify, A. Z., Cordeiro, G. M., Bourguignon, M., & Ortega, E. M. M. (2018). Properties of the Transmuted Burr XII Distribution, Regression and its Applications. Journal of Data Science, 16( 3), 485-510. doi:10.6339/JDS.201807_16(3).0003
NLM
Afify AZ, Cordeiro GM, Bourguignon M, Ortega EMM. Properties of the Transmuted Burr XII Distribution, Regression and its Applications [Internet]. Journal of Data Science. 2018 ; 16( 3): 485-510.[citado 2024 nov. 18 ] Available from: https://doi.org/10.6339/JDS.201807_16(3).0003
Vancouver
Afify AZ, Cordeiro GM, Bourguignon M, Ortega EMM. Properties of the Transmuted Burr XII Distribution, Regression and its Applications [Internet]. Journal of Data Science. 2018 ; 16( 3): 485-510.[citado 2024 nov. 18 ] Available from: https://doi.org/10.6339/JDS.201807_16(3).0003
Artigo de periodico
Modelling location, scale and shape parameters of the birnbaum-saunders generalized t distribution (2017)
Nakamura, Luiz R; Rigby, Robert A; Stasinopoulos, Dimitrios M; Leandro, Roseli Aparecida; Villegas Lobos, Cristian Marcelo; Pescim, Rodrigo R
Source: Journal of Data Science. Unidade: ESALQ
Subjects: DISTRIBUIÇÃO T, MODELOS MATEMÁTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NAKAMURA, Luiz R et al. Modelling location, scale and shape parameters of the birnbaum-saunders generalized t distribution. Journal of Data Science, v. 15, n. 2, p. 221-238, 2017Tradução . . Disponível em: http://www.jds-online.com/volume-15-number-2-april-2017. Acesso em: 18 nov. 2024.
APA
Nakamura, L. R., Rigby, R. A., Stasinopoulos, D. M., Leandro, R. A., Villegas Lobos, C. M., & Pescim, R. R. (2017). Modelling location, scale and shape parameters of the birnbaum-saunders generalized t distribution. Journal of Data Science, 15( 2), 221-238. Recuperado de http://www.jds-online.com/volume-15-number-2-april-2017
NLM
Nakamura LR, Rigby RA, Stasinopoulos DM, Leandro RA, Villegas Lobos CM, Pescim RR. Modelling location, scale and shape parameters of the birnbaum-saunders generalized t distribution [Internet]. Journal of Data Science. 2017 ; 15( 2): 221-238.[citado 2024 nov. 18 ] Available from: http://www.jds-online.com/volume-15-number-2-april-2017
Vancouver
Nakamura LR, Rigby RA, Stasinopoulos DM, Leandro RA, Villegas Lobos CM, Pescim RR. Modelling location, scale and shape parameters of the birnbaum-saunders generalized t distribution [Internet]. Journal of Data Science. 2017 ; 15( 2): 221-238.[citado 2024 nov. 18 ] Available from: http://www.jds-online.com/volume-15-number-2-april-2017
Artigo de periodico
A new class of survival regression models with cure fraction (2014)
Ortega, Edwin Moises Marcos ; Barriga, Gladys D. C; Hashimoto, Elizabeth Mie ; Cancho, Vicente Garibay ; Cordeiro, Gauss M
Source: Journal of Data Science. Unidades: ESALQ, ICMC
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), REGRESSÃO LINEAR, ANÁLISE DE SOBREVIVÊNCIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ORTEGA, Edwin Moises Marcos et al. A new class of survival regression models with cure fraction. Journal of Data Science, v. 24, p. 107-136, 2014Tradução . . Disponível em: https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.1053.7520&rep=rep1&type=pdf. Acesso em: 18 nov. 2024.
APA
Ortega, E. M. M., Barriga, G. D. C., Hashimoto, E. M., Cancho, V. G., & Cordeiro, G. M. (2014). A new class of survival regression models with cure fraction. Journal of Data Science, 24, 107-136. doi:10.6339/JDS.2014.12(1).1152
NLM
Ortega EMM, Barriga GDC, Hashimoto EM, Cancho VG, Cordeiro GM. A new class of survival regression models with cure fraction [Internet]. Journal of Data Science. 2014 ; 24 107-136.[citado 2024 nov. 18 ] Available from: https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.1053.7520&rep=rep1&type=pdf
Vancouver
Ortega EMM, Barriga GDC, Hashimoto EM, Cancho VG, Cordeiro GM. A new class of survival regression models with cure fraction [Internet]. Journal of Data Science. 2014 ; 24 107-136.[citado 2024 nov. 18 ] Available from: https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.1053.7520&rep=rep1&type=pdf
Artigo de periodico
The Kumaraswamy generalized half-normal distribution for skewed positive data (2012)
Cordeiro, Gauss M; Pescim, Rodrigo Rosseto ; Ortega, Edwin Moises Marcos
Source: Journal of Data Science. Unidade: ESALQ
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA, MODELOS LINEARES GENERALIZADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CORDEIRO, Gauss M e PESCIM, Rodrigo Rosseto e ORTEGA, Edwin Moises Marcos. The Kumaraswamy generalized half-normal distribution for skewed positive data. Journal of Data Science, v. 10, p. 195-224, 2012Tradução . . Disponível em: https://doi.org/10.6339/JDS.2012.10(2).1010. Acesso em: 18 nov. 2024.
APA
Cordeiro, G. M., Pescim, R. R., & Ortega, E. M. M. (2012). The Kumaraswamy generalized half-normal distribution for skewed positive data. Journal of Data Science, 10, 195-224. doi:10.6339/JDS.2012.10(2).1010
NLM
Cordeiro GM, Pescim RR, Ortega EMM. The Kumaraswamy generalized half-normal distribution for skewed positive data [Internet]. Journal of Data Science. 2012 ; 10 195-224.[citado 2024 nov. 18 ] Available from: https://doi.org/10.6339/JDS.2012.10(2).1010
Vancouver
Cordeiro GM, Pescim RR, Ortega EMM. The Kumaraswamy generalized half-normal distribution for skewed positive data [Internet]. Journal of Data Science. 2012 ; 10 195-224.[citado 2024 nov. 18 ] Available from: https://doi.org/10.6339/JDS.2012.10(2).1010
Artigo de periodico
Identifying multi-subject cortical activation in MRI: a frequency domain approach (2008)
Sato, João Ricardo; Chiann, Chang ; Taniguchi, Eduardo Hiromassa; Santos, Emerson Gomes dos; Arantes, Paula Ricci; Mourao, Maria Lucia; Amaro Junior, Edson; Morettin, Pedro Alberto
Source: Journal of Data Science. Unidades: IME, FM
Subjects: CÉREBRO (RADIOGRAFIA), ANÁLISE ESPECTRAL, IMAGEM POR RESSONÂNCIA MAGNÉTICA, HEMODINÂMICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SATO, João Ricardo et al. Identifying multi-subject cortical activation in MRI: a frequency domain approach. Journal of Data Science, v. 6, p. 80-103, 2008Tradução . . Acesso em: 18 nov. 2024.
APA
Sato, J. R., Chiann, C., Taniguchi, E. H., Santos, E. G. dos, Arantes, P. R., Mourao, M. L., et al. (2008). Identifying multi-subject cortical activation in MRI: a frequency domain approach. Journal of Data Science, 6, 80-103.
NLM
Sato JR, Chiann C, Taniguchi EH, Santos EG dos, Arantes PR, Mourao ML, Amaro Junior E, Morettin PA. Identifying multi-subject cortical activation in MRI: a frequency domain approach. Journal of Data Science. 2008 ; 6 80-103.[citado 2024 nov. 18 ]
Vancouver
Sato JR, Chiann C, Taniguchi EH, Santos EG dos, Arantes PR, Mourao ML, Amaro Junior E, Morettin PA. Identifying multi-subject cortical activation in MRI: a frequency domain approach. Journal of Data Science. 2008 ; 6 80-103.[citado 2024 nov. 18 ]
Artigo de periodico
Bayesian and Classical Solutions for Binomial Cytogenetic Dosimetry Problem (2003)
Branco, Marcia D'Elia ; Bolfarine, Heleno ; Zuazola, Pilar Loreto Iglesias; Arellano-Valle, Reinaldo Boris
Source: Journal of Data Science. Unidade: IME
Assunto: PROCESSOS ESTOCÁSTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BRANCO, Marcia D'Elia et al. Bayesian and Classical Solutions for Binomial Cytogenetic Dosimetry Problem. Journal of Data Science, v. 1, p. 65-82, 2003Tradução . . Disponível em: http://www.jds-online.com/file_download/7/JDS-112.pdf. Acesso em: 18 nov. 2024.
APA
Branco, M. D. 'E., Bolfarine, H., Zuazola, P. L. I., & Arellano-Valle, R. B. (2003). Bayesian and Classical Solutions for Binomial Cytogenetic Dosimetry Problem. Journal of Data Science, 1, 65-82. Recuperado de http://www.jds-online.com/file_download/7/JDS-112.pdf
NLM
Branco MD'E, Bolfarine H, Zuazola PLI, Arellano-Valle RB. Bayesian and Classical Solutions for Binomial Cytogenetic Dosimetry Problem [Internet]. Journal of Data Science. 2003 ; 1 65-82.[citado 2024 nov. 18 ] Available from: http://www.jds-online.com/file_download/7/JDS-112.pdf
Vancouver
Branco MD'E, Bolfarine H, Zuazola PLI, Arellano-Valle RB. Bayesian and Classical Solutions for Binomial Cytogenetic Dosimetry Problem [Internet]. Journal of Data Science. 2003 ; 1 65-82.[citado 2024 nov. 18 ] Available from: http://www.jds-online.com/file_download/7/JDS-112.pdf

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