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Artigo de periodico
Time series regression models for COVID-19 deaths (2021)
Andrade, Marinho Gomes de ; Conceição, Katiane Silva ; Achcar, Jorge Alberto ; Ravishanker, Nalini
Source: Journal of Data Science. Unidade: ICMC
Subjects: MÉTODOS MCMC, ANÁLISE DE SÉRIES TEMPORAIS, COVID-19
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANDRADE, Marinho Gomes de et al. Time series regression models for COVID-19 deaths. Journal of Data Science, v. 19, n. 2, p. 269-292, 2021Tradução . . Disponível em: https://doi.org/10.6339/21-JDS991. Acesso em: 28 nov. 2025.
APA
Andrade, M. G. de, Conceição, K. S., Achcar, J. A., & Ravishanker, N. (2021). Time series regression models for COVID-19 deaths. Journal of Data Science, 19( 2), 269-292. doi:10.6339/21-JDS991
NLM
Andrade MG de, Conceição KS, Achcar JA, Ravishanker N. Time series regression models for COVID-19 deaths [Internet]. Journal of Data Science. 2021 ; 19( 2): 269-292.[citado 2025 nov. 28 ] Available from: https://doi.org/10.6339/21-JDS991
Vancouver
Andrade MG de, Conceição KS, Achcar JA, Ravishanker N. Time series regression models for COVID-19 deaths [Internet]. Journal of Data Science. 2021 ; 19( 2): 269-292.[citado 2025 nov. 28 ] Available from: https://doi.org/10.6339/21-JDS991
Artigo de periodico
A two-parameter distribution with increasing and bathtub hazard rate (2020)
Ramos, Pedro Luiz ; Louzada, Francisco ; Moala, Fernando Antonio
Source: Journal of Data Science. Unidade: ICMC
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA, REAMOSTRAGEM BOOTSTRAP
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RAMOS, Pedro Luiz e LOUZADA, Francisco e MOALA, Fernando Antonio. A two-parameter distribution with increasing and bathtub hazard rate. Journal of Data Science, v. 18, n. 4, p. 813-827, 2020Tradução . . Disponível em: https://doi.org/10.6339/JDS.202010_18(4)_0014. Acesso em: 28 nov. 2025.
APA
Ramos, P. L., Louzada, F., & Moala, F. A. (2020). A two-parameter distribution with increasing and bathtub hazard rate. Journal of Data Science, 18( 4), 813-827. doi:10.6339/JDS.202010_18(4)_0014
NLM
Ramos PL, Louzada F, Moala FA. A two-parameter distribution with increasing and bathtub hazard rate [Internet]. Journal of Data Science. 2020 ; 18( 4): 813-827.[citado 2025 nov. 28 ] Available from: https://doi.org/10.6339/JDS.202010_18(4)_0014
Vancouver
Ramos PL, Louzada F, Moala FA. A two-parameter distribution with increasing and bathtub hazard rate [Internet]. Journal of Data Science. 2020 ; 18( 4): 813-827.[citado 2025 nov. 28 ] Available from: https://doi.org/10.6339/JDS.202010_18(4)_0014
Artigo de periodico
Use of graphical methods in the diagnostic of parametric probability distributions for bivariate lifetime data in presence of censored data (2019)
Achcar, Jorge Alberto ; Cuevas, Jose Rafael Tovar; Moala, Fernando A.
Source: Journal of Data Science. Unidade: FMRP
Subjects: INFERÊNCIA BAYESIANA, DADOS CENSURADOS, MÉTODOS DE DIAGNÓSTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ACHCAR, Jorge Alberto e CUEVAS, Jose Rafael Tovar e MOALA, Fernando A. Use of graphical methods in the diagnostic of parametric probability distributions for bivariate lifetime data in presence of censored data. Journal of Data Science, v. 17, n. 3, p. 445-480, 2019Tradução . . Disponível em: https://doi.org/10.6339/JDS.201907_17(3).0001. Acesso em: 28 nov. 2025.
APA
Achcar, J. A., Cuevas, J. R. T., & Moala, F. A. (2019). Use of graphical methods in the diagnostic of parametric probability distributions for bivariate lifetime data in presence of censored data. Journal of Data Science, 17( 3), 445-480. doi:10.6339/JDS.201907_17(3).0001
NLM
Achcar JA, Cuevas JRT, Moala FA. Use of graphical methods in the diagnostic of parametric probability distributions for bivariate lifetime data in presence of censored data [Internet]. Journal of Data Science. 2019 ; 17( 3): 445-480.[citado 2025 nov. 28 ] Available from: https://doi.org/10.6339/JDS.201907_17(3).0001
Vancouver
Achcar JA, Cuevas JRT, Moala FA. Use of graphical methods in the diagnostic of parametric probability distributions for bivariate lifetime data in presence of censored data [Internet]. Journal of Data Science. 2019 ; 17( 3): 445-480.[citado 2025 nov. 28 ] Available from: https://doi.org/10.6339/JDS.201907_17(3).0001
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: 28 nov. 2025.
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 2025 nov. 28 ] 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 2025 nov. 28 ] Available from: https://doi.org/10.6339/JDS.201807_16(3).0003
Artigo de periodico
Modeling compositional regression with uncorrelated and correlated errors: a Bayesian approach (2018)
Shimizu, Taciana K. O.; Louzada, Francisco ; Suzuki, Adriano Kamimura ; Ehlers, Ricardo Sandes
Source: Journal of Data Science. Unidade: ICMC
Subjects: PROBABILIDADE, INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SHIMIZU, Taciana K. O. et al. Modeling compositional regression with uncorrelated and correlated errors: a Bayesian approach. Journal of Data Science, v. 16, n. 2, p. 221-250, 2018Tradução . . Disponível em: https://doi.org/10.6339/JDS.201804_16(2).0002. Acesso em: 28 nov. 2025.
APA
Shimizu, T. K. O., Louzada, F., Suzuki, A. K., & Ehlers, R. S. (2018). Modeling compositional regression with uncorrelated and correlated errors: a Bayesian approach. Journal of Data Science, 16( 2), 221-250. doi:10.6339/JDS.201804_16(2).0002
NLM
Shimizu TKO, Louzada F, Suzuki AK, Ehlers RS. Modeling compositional regression with uncorrelated and correlated errors: a Bayesian approach [Internet]. Journal of Data Science. 2018 ; 16( 2): 221-250.[citado 2025 nov. 28 ] Available from: https://doi.org/10.6339/JDS.201804_16(2).0002
Vancouver
Shimizu TKO, Louzada F, Suzuki AK, Ehlers RS. Modeling compositional regression with uncorrelated and correlated errors: a Bayesian approach [Internet]. Journal of Data Science. 2018 ; 16( 2): 221-250.[citado 2025 nov. 28 ] Available from: https://doi.org/10.6339/JDS.201804_16(2).0002
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: 28 nov. 2025.
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 2025 nov. 28 ] 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 2025 nov. 28 ] Available from: http://www.jds-online.com/volume-15-number-2-april-2017
Artigo de periodico
Investigating the underlying causal network on European football teams (2017)
Cerqueira, Pedro H. R; Nakamura, Luiz R; Pescim, Rodrigo R; Leandro, Roseli Aparecida
Source: Journal of Data Science. Unidade: ESALQ
Subjects: ESPORTES POR EQUIPE, FUTEBOL, MODELOS MATEMÁTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CERQUEIRA, Pedro H. R et al. Investigating the underlying causal network on European football teams. Journal of Data Science, v. 15, p. 293-312, 2017Tradução . . Disponível em: http://www.jds-online.com/file_download/606/2017_4-7.pdf. Acesso em: 28 nov. 2025.
APA
Cerqueira, P. H. R., Nakamura, L. R., Pescim, R. R., & Leandro, R. A. (2017). Investigating the underlying causal network on European football teams. Journal of Data Science, 15, 293-312. Recuperado de http://www.jds-online.com/file_download/606/2017_4-7.pdf
NLM
Cerqueira PHR, Nakamura LR, Pescim RR, Leandro RA. Investigating the underlying causal network on European football teams [Internet]. Journal of Data Science. 2017 ; 15 293-312.[citado 2025 nov. 28 ] Available from: http://www.jds-online.com/file_download/606/2017_4-7.pdf
Vancouver
Cerqueira PHR, Nakamura LR, Pescim RR, Leandro RA. Investigating the underlying causal network on European football teams [Internet]. Journal of Data Science. 2017 ; 15 293-312.[citado 2025 nov. 28 ] Available from: http://www.jds-online.com/file_download/606/2017_4-7.pdf
Artigo de periodico
A new extension of the normal distribution (2015)
Lima, Maria do Carmo S; Cordeiro, Gauss M; Ortega, Edwin Moisés Marcos
Source: Journal of Data Science. Unidade: ESALQ
Subjects: DISTRIBUIÇÃO NORMAL, MODELOS MATEMÁTICOS, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LIMA, Maria do Carmo S e CORDEIRO, Gauss M e ORTEGA, Edwin Moisés Marcos. A new extension of the normal distribution. Journal of Data Science, v. 2, p. 385-408, 2015Tradução . . Disponível em: https://doi.org/10.6339/JDS.201504_13(2).0009. Acesso em: 28 nov. 2025.
APA
Lima, M. do C. S., Cordeiro, G. M., & Ortega, E. M. M. (2015). A new extension of the normal distribution. Journal of Data Science, 2, 385-408. doi:10.6339/JDS.201504_13(2).0009
NLM
Lima M do CS, Cordeiro GM, Ortega EMM. A new extension of the normal distribution [Internet]. Journal of Data Science. 2015 ; 2 385-408.[citado 2025 nov. 28 ] Available from: https://doi.org/10.6339/JDS.201504_13(2).0009
Vancouver
Lima M do CS, Cordeiro GM, Ortega EMM. A new extension of the normal distribution [Internet]. Journal of Data Science. 2015 ; 2 385-408.[citado 2025 nov. 28 ] Available from: https://doi.org/10.6339/JDS.201504_13(2).0009
Artigo de periodico
On the classical estimation of bivariate copula-based Seemingly unrelated tobit models through the proposed inference function for augmented margins method (2015)
Louzada, Francisco ; Ferreira, Paulo Henrique
Source: Journal of Data Science. Unidade: ICMC
Subjects: ANÁLISE VARIACIONAL, INFERÊNCIA BAYESIANA, SIMULAÇÃO (ESTATÍSTICA)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOUZADA, Francisco e FERREIRA, Paulo Henrique. On the classical estimation of bivariate copula-based Seemingly unrelated tobit models through the proposed inference function for augmented margins method. Journal of Data Science, v. 13, p. 771-794, 2015Tradução . . Disponível em: http://www.jds-online.com/volume-13-number-4-october-2015. Acesso em: 28 nov. 2025.
APA
Louzada, F., & Ferreira, P. H. (2015). On the classical estimation of bivariate copula-based Seemingly unrelated tobit models through the proposed inference function for augmented margins method. Journal of Data Science, 13, 771-794. Recuperado de http://www.jds-online.com/volume-13-number-4-october-2015
NLM
Louzada F, Ferreira PH. On the classical estimation of bivariate copula-based Seemingly unrelated tobit models through the proposed inference function for augmented margins method [Internet]. Journal of Data Science. 2015 ;13 771-794.[citado 2025 nov. 28 ] Available from: http://www.jds-online.com/volume-13-number-4-october-2015
Vancouver
Louzada F, Ferreira PH. On the classical estimation of bivariate copula-based Seemingly unrelated tobit models through the proposed inference function for augmented margins method [Internet]. Journal of Data Science. 2015 ;13 771-794.[citado 2025 nov. 28 ] Available from: http://www.jds-online.com/volume-13-number-4-october-2015
Artigo de periodico
The Kummer Beta Generalized Gamma Distribution (2014)
Cordeiro, Gauss Moutinho; Pescim, Rodrigo Rossetto; Demétrio, Clarice Garcia Borges ; Ortega, Edwin Moisés Marcos
Source: Journal of Data Science. Unidade: ESALQ
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CORDEIRO, Gauss Moutinho et al. The Kummer Beta Generalized Gamma Distribution. Journal of Data Science, v. 12, n. 4, p. 661-698, 2014Tradução . . Disponível em: https://jds-online.org/journal/JDS/issue/30. Acesso em: 28 nov. 2025.
APA
Cordeiro, G. M., Pescim, R. R., Demétrio, C. G. B., & Ortega, E. M. M. (2014). The Kummer Beta Generalized Gamma Distribution. Journal of Data Science, 12( 4), 661-698. Recuperado de https://jds-online.org/journal/JDS/issue/30
NLM
Cordeiro GM, Pescim RR, Demétrio CGB, Ortega EMM. The Kummer Beta Generalized Gamma Distribution [Internet]. Journal of Data Science. 2014 ; 12( 4): 661-698.[citado 2025 nov. 28 ] Available from: https://jds-online.org/journal/JDS/issue/30
Vancouver
Cordeiro GM, Pescim RR, Demétrio CGB, Ortega EMM. The Kummer Beta Generalized Gamma Distribution [Internet]. Journal of Data Science. 2014 ; 12( 4): 661-698.[citado 2025 nov. 28 ] Available from: https://jds-online.org/journal/JDS/issue/30
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: 28 nov. 2025.
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 2025 nov. 28 ] 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 2025 nov. 28 ] Available from: https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.1053.7520&rep=rep1&type=pdf
Artigo de periodico
A new long-term survival distribution for cancer data (2012)
Roman, Mari; Louzada, Francisco ; Cancho, Vicente Garibay ; Leite, Jose Galvão
Source: Journal of Data Science. Unidades: ICMC, IME
Assunto: INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROMAN, Mari et al. A new long-term survival distribution for cancer data. Journal of Data Science, v. 10, n. 2, p. 241-258, 2012Tradução . . Disponível em: http://www.jds-online.com/volume-10-number-2-april-2012. Acesso em: 28 nov. 2025.
APA
Roman, M., Louzada, F., Cancho, V. G., & Leite, J. G. (2012). A new long-term survival distribution for cancer data. Journal of Data Science, 10( 2), 241-258. Recuperado de http://www.jds-online.com/volume-10-number-2-april-2012
NLM
Roman M, Louzada F, Cancho VG, Leite JG. A new long-term survival distribution for cancer data [Internet]. Journal of Data Science. 2012 ; 10( 2): 241-258.[citado 2025 nov. 28 ] Available from: http://www.jds-online.com/volume-10-number-2-april-2012
Vancouver
Roman M, Louzada F, Cancho VG, Leite JG. A new long-term survival distribution for cancer data [Internet]. Journal of Data Science. 2012 ; 10( 2): 241-258.[citado 2025 nov. 28 ] Available from: http://www.jds-online.com/volume-10-number-2-april-2012
Artigo de periodico
The chi-plot and its asymptotic confidence interval for analyzing bivariate dependence: an application to the average intelligence and atheism rates across nations data (2012)
Marchi, Vitor A. A.; Rojas, Francisco A. R.; Louzada, Francisco
Source: Journal of Data Science. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MARCHI, Vitor A. A. e ROJAS, Francisco A. R. e LOUZADA, Francisco. The chi-plot and its asymptotic confidence interval for analyzing bivariate dependence: an application to the average intelligence and atheism rates across nations data. Journal of Data Science, v. 10, n. 4, p. 711-722, 2012Tradução . . Disponível em: http://www.jds-online.com/volume-10-number-4-october-2012. Acesso em: 28 nov. 2025.
APA
Marchi, V. A. A., Rojas, F. A. R., & Louzada, F. (2012). The chi-plot and its asymptotic confidence interval for analyzing bivariate dependence: an application to the average intelligence and atheism rates across nations data. Journal of Data Science, 10( 4), 711-722. Recuperado de http://www.jds-online.com/volume-10-number-4-october-2012
NLM
Marchi VAA, Rojas FAR, Louzada F. The chi-plot and its asymptotic confidence interval for analyzing bivariate dependence: an application to the average intelligence and atheism rates across nations data [Internet]. Journal of Data Science. 2012 ; 10( 4): 711-722.[citado 2025 nov. 28 ] Available from: http://www.jds-online.com/volume-10-number-4-october-2012
Vancouver
Marchi VAA, Rojas FAR, Louzada F. The chi-plot and its asymptotic confidence interval for analyzing bivariate dependence: an application to the average intelligence and atheism rates across nations data [Internet]. Journal of Data Science. 2012 ; 10( 4): 711-722.[citado 2025 nov. 28 ] Available from: http://www.jds-online.com/volume-10-number-4-october-2012
Artigo de periodico
The Kumaraswamy generalized half-normal distribution for skewed positive data (2012)
Cordeiro, Gauss Moutinho ; Pescim, Rodrigo Rossetto ; 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 Moutinho e PESCIM, Rodrigo Rossetto 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: 28 nov. 2025.
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 2025 nov. 28 ] 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 2025 nov. 28 ] Available from: https://doi.org/10.6339/JDS.2012.10(2).1010
Artigo de periodico
The long-term bivariate survival FGM copula model: an application to a brazilian HIV data (2012)
Louzada, Francisco ; Suzuki, Adriano Kamimura ; Cancho, Vicente Garibay ; Prince, Fátima Luiza; Pereira, Gilberto de Araújo
Source: Journal of Data Science. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOUZADA, Francisco et al. The long-term bivariate survival FGM copula model: an application to a brazilian HIV data. Journal of Data Science, v. 10, n. 3, p. 511-535, 2012Tradução . . Disponível em: http://www.jds-online.com/volume-10-number-3-july-2012. Acesso em: 28 nov. 2025.
APA
Louzada, F., Suzuki, A. K., Cancho, V. G., Prince, F. L., & Pereira, G. de A. (2012). The long-term bivariate survival FGM copula model: an application to a brazilian HIV data. Journal of Data Science, 10( 3), 511-535. Recuperado de http://www.jds-online.com/volume-10-number-3-july-2012
NLM
Louzada F, Suzuki AK, Cancho VG, Prince FL, Pereira G de A. The long-term bivariate survival FGM copula model: an application to a brazilian HIV data [Internet]. Journal of Data Science. 2012 ; 10( 3): 511-535.[citado 2025 nov. 28 ] Available from: http://www.jds-online.com/volume-10-number-3-july-2012
Vancouver
Louzada F, Suzuki AK, Cancho VG, Prince FL, Pereira G de A. The long-term bivariate survival FGM copula model: an application to a brazilian HIV data [Internet]. Journal of Data Science. 2012 ; 10( 3): 511-535.[citado 2025 nov. 28 ] Available from: http://www.jds-online.com/volume-10-number-3-july-2012
Artigo de periodico
Language rythm model selection by weighted kappa (2010)
Giampaoli, Viviana ; Mandel, Arnaldo
Source: Journal of Data Science. Unidade: IME
Assunto: LINGUAGEM DE PROGRAMAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GIAMPAOLI, Viviana e MANDEL, Arnaldo. Language rythm model selection by weighted kappa. Journal of Data Science, v. 8, n. 1, p. 91-99, 2010Tradução . . Disponível em: http://www.jds-online.com/v8-1. Acesso em: 28 nov. 2025.
APA
Giampaoli, V., & Mandel, A. (2010). Language rythm model selection by weighted kappa. Journal of Data Science, 8( 1), 91-99. Recuperado de http://www.jds-online.com/v8-1
NLM
Giampaoli V, Mandel A. Language rythm model selection by weighted kappa [Internet]. Journal of Data Science. 2010 ; 8( 1): 91-99.[citado 2025 nov. 28 ] Available from: http://www.jds-online.com/v8-1
Vancouver
Giampaoli V, Mandel A. Language rythm model selection by weighted kappa [Internet]. Journal of Data Science. 2010 ; 8( 1): 91-99.[citado 2025 nov. 28 ] Available from: http://www.jds-online.com/v8-1
Artigo de periodico
The log-exponentiated-weibull regression models with cure rate: local influence and residual analysis (2009)
Cancho, Vicente Garibay ; Ortega, Edwin Moisés Marcos ; Bolfarine, Heleno
Source: Journal of Data Science. Unidades: ICMC, ESALQ, IME
Subjects: INFERÊNCIA BAYESIANA, REGRESSÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CANCHO, Vicente Garibay e ORTEGA, Edwin Moisés Marcos e BOLFARINE, Heleno. The log-exponentiated-weibull regression models with cure rate: local influence and residual analysis. Journal of Data Science, v. 7, n. 4, p. 433-458, 2009Tradução . . Disponível em: https://jds-online.org/journal/JDS/article/973/info. Acesso em: 28 nov. 2025.
APA
Cancho, V. G., Ortega, E. M. M., & Bolfarine, H. (2009). The log-exponentiated-weibull regression models with cure rate: local influence and residual analysis. Journal of Data Science, 7( 4), 433-458. Recuperado de https://jds-online.org/journal/JDS/article/973/info
NLM
Cancho VG, Ortega EMM, Bolfarine H. The log-exponentiated-weibull regression models with cure rate: local influence and residual analysis [Internet]. Journal of Data Science. 2009 ; 7( 4): 433-458.[citado 2025 nov. 28 ] Available from: https://jds-online.org/journal/JDS/article/973/info
Vancouver
Cancho VG, Ortega EMM, Bolfarine H. The log-exponentiated-weibull regression models with cure rate: local influence and residual analysis [Internet]. Journal of Data Science. 2009 ; 7( 4): 433-458.[citado 2025 nov. 28 ] Available from: https://jds-online.org/journal/JDS/article/973/info
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: 28 nov. 2025.
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 2025 nov. 28 ]
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 2025 nov. 28 ]
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: 28 nov. 2025.
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 2025 nov. 28 ] 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 2025 nov. 28 ] Available from: http://www.jds-online.com/file_download/7/JDS-112.pdf

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