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Artigo de periodico
Seasonal hydrological and meteorological time series (2018)
Cuervo, Edilberto Cepeda; Achcar, Jorge Alberto ; Andrade, Marinho Gomes de
Source: Earth Sciences Research Journal. Unidades: ICMC, FMRP
Subjects: INFERÊNCIA BAYESIANA, MODELOS EM SÉRIES TEMPORAIS, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, MÉTODOS MCMC, HIDROLOGIA, METEOROLOGIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CUERVO, Edilberto Cepeda e ACHCAR, Jorge Alberto e ANDRADE, Marinho Gomes de. Seasonal hydrological and meteorological time series. Earth Sciences Research Journal, v. 22, n. Ju 2018, p. 83-90, 2018Tradução . . Disponível em: https://doi.org/10.15446/esrj.v22n2.65577. Acesso em: 11 nov. 2024.
APA
Cuervo, E. C., Achcar, J. A., & Andrade, M. G. de. (2018). Seasonal hydrological and meteorological time series. Earth Sciences Research Journal, 22( Ju 2018), 83-90. doi:10.15446/esrj.v22n2.65577
NLM
Cuervo EC, Achcar JA, Andrade MG de. Seasonal hydrological and meteorological time series [Internet]. Earth Sciences Research Journal. 2018 ; 22( Ju 2018): 83-90.[citado 2024 nov. 11 ] Available from: https://doi.org/10.15446/esrj.v22n2.65577
Vancouver
Cuervo EC, Achcar JA, Andrade MG de. Seasonal hydrological and meteorological time series [Internet]. Earth Sciences Research Journal. 2018 ; 22( Ju 2018): 83-90.[citado 2024 nov. 11 ] Available from: https://doi.org/10.15446/esrj.v22n2.65577
Artigo de periodico
The influence of network properties on the synchronization of Kuramoto oscillators quantified by a bayesian regression analysis (2013)
Arruda, Guilherme F. de; Peron, Thomas ; Andrade, Marinho Gomes de ; Achcar, Jorge Alberto ; Rodrigues, Francisco Aparecido
Source: Journal Statistical Physics. Unidades: ICMC, FMRP
Subjects: REDES COMPLEXAS, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, PROCESSOS ESTOCÁSTICOS, ANÁLISE DE SÉRIES TEMPORAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ARRUDA, Guilherme F. de et al. The influence of network properties on the synchronization of Kuramoto oscillators quantified by a bayesian regression analysis. Journal Statistical Physics, v. 152, n. 3, p. 519-533, 2013Tradução . . Disponível em: https://doi.org/10.1007/s10955-013-0775-z. Acesso em: 11 nov. 2024.
APA
Arruda, G. F. de, Peron, T., Andrade, M. G. de, Achcar, J. A., & Rodrigues, F. A. (2013). The influence of network properties on the synchronization of Kuramoto oscillators quantified by a bayesian regression analysis. Journal Statistical Physics, 152( 3), 519-533. doi:10.1007/s10955-013-0775-z
NLM
Arruda GF de, Peron T, Andrade MG de, Achcar JA, Rodrigues FA. The influence of network properties on the synchronization of Kuramoto oscillators quantified by a bayesian regression analysis [Internet]. Journal Statistical Physics. 2013 ; 152( 3): 519-533.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1007/s10955-013-0775-z
Vancouver
Arruda GF de, Peron T, Andrade MG de, Achcar JA, Rodrigues FA. The influence of network properties on the synchronization of Kuramoto oscillators quantified by a bayesian regression analysis [Internet]. Journal Statistical Physics. 2013 ; 152( 3): 519-533.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1007/s10955-013-0775-z
Trabalho de evento-anais periodico
A seasonal and heteroscedastic gamma model for hydrological time series: a Bayesian approach (2012)
Cuervo, Edilberto Cepeda; Andrade, Marinho Gomes de ; Achcar, Jorge Alberto
Source: AIP Conference Proceedings. Conference titles: Brazilian Meeting on Bayesian Statistics - EBEB. Unidades: ICMC, FMRP
Subjects: ANÁLISE DE SÉRIES TEMPORAIS, HIDROLOGIA, DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA, MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CUERVO, Edilberto Cepeda e ANDRADE, Marinho Gomes de e ACHCAR, Jorge Alberto. A seasonal and heteroscedastic gamma model for hydrological time series: a Bayesian approach. AIP Conference Proceedings. College Park, Maryland: American Institute of Physics - AIP. Disponível em: https://doi.org/10.1063/1.4759593. Acesso em: 11 nov. 2024. , 2012
APA
Cuervo, E. C., Andrade, M. G. de, & Achcar, J. A. (2012). A seasonal and heteroscedastic gamma model for hydrological time series: a Bayesian approach. AIP Conference Proceedings. College Park, Maryland: American Institute of Physics - AIP. doi:10.1063/1.4759593
NLM
Cuervo EC, Andrade MG de, Achcar JA. A seasonal and heteroscedastic gamma model for hydrological time series: a Bayesian approach [Internet]. AIP Conference Proceedings. 2012 ; 1490 97-107.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1063/1.4759593
Vancouver
Cuervo EC, Andrade MG de, Achcar JA. A seasonal and heteroscedastic gamma model for hydrological time series: a Bayesian approach [Internet]. AIP Conference Proceedings. 2012 ; 1490 97-107.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1063/1.4759593

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