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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

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      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

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      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

    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

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      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

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    • 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

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      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

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      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

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      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)

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      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

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    • 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

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      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

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      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

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      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

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      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

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      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

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      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

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    • 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

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    • 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

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    • 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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