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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
Fonte: Journal of Data Science. Unidade: ICMC
Assuntos: 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
Fonte: Journal of Data Science. Unidade: ICMC
Assuntos: 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
Modeling compositional regression with uncorrelated and correlated errors: a Bayesian approach (2018)
Shimizu, Taciana K. O.; Louzada, Francisco ; Suzuki, Adriano Kamimura ; Ehlers, Ricardo Sandes
Fonte: Journal of Data Science. Unidade: ICMC
Assuntos: 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
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
Fonte: Journal of Data Science. Unidade: ICMC
Assuntos: 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 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
Fonte: Journal of Data Science. Unidade: ICMC
Assuntos: 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 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
Fonte: Journal of Data Science. Unidade: ICMC
Assuntos: 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

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