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Artigo de periodico
Annual mean temperature and rain precipitation in North America using NHPP to detect climate changes (2023)
Achcar, Jorge Alberto; Rodrigues, Eliane R.; Oliveira, Ricardo Puziol de; Barili, Emerson
Source: International Journal of Environment and Climate Change. Unidade: FMRP
Subjects: MUDANÇA CLIMÁTICA, INFERÊNCIA BAYESIANA, MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ACHCAR, Jorge Alberto et al. Annual mean temperature and rain precipitation in North America using NHPP to detect climate changes. International Journal of Environment and Climate Change, v. 13, n. 8, p. 141-161, 2023Tradução . . Disponível em: https://doi.org/10.9734/IJECC/2023/v13i81940. Acesso em: 27 jul. 2024.
APA
Achcar, J. A., Rodrigues, E. R., Oliveira, R. P. de, & Barili, E. (2023). Annual mean temperature and rain precipitation in North America using NHPP to detect climate changes. International Journal of Environment and Climate Change, 13( 8), 141-161. doi:10.9734/IJECC/2023/v13i81940
NLM
Achcar JA, Rodrigues ER, Oliveira RP de, Barili E. Annual mean temperature and rain precipitation in North America using NHPP to detect climate changes [Internet]. International Journal of Environment and Climate Change. 2023 ; 13( 8): 141-161.[citado 2024 jul. 27 ] Available from: https://doi.org/10.9734/IJECC/2023/v13i81940
Vancouver
Achcar JA, Rodrigues ER, Oliveira RP de, Barili E. Annual mean temperature and rain precipitation in North America using NHPP to detect climate changes [Internet]. International Journal of Environment and Climate Change. 2023 ; 13( 8): 141-161.[citado 2024 jul. 27 ] Available from: https://doi.org/10.9734/IJECC/2023/v13i81940
Artigo de periodico
Non-homogeneous Poisson and linear regression models as approaches to study time series with change-points (2022)
Oliveira, Ricardo Puziol de; Achcar, Jorge Alberto ; Chen, Charles; Rodrigues, Eliane R.
Source: Communications in Statistics: Case Studies, Data Analysis and Applications. Unidade: FMRP
Subjects: ANÁLISE DE SÉRIES TEMPORAIS, DISTRIBUIÇÃO DE POISSON, INFERÊNCIA BAYESIANA, REGRESSÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Ricardo Puziol de et al. Non-homogeneous Poisson and linear regression models as approaches to study time series with change-points. Communications in Statistics: Case Studies, Data Analysis and Applications, v. 8, n. 2, p. 331-353, 2022Tradução . . Disponível em: https://doi.org/10.1080/23737484.2022.2056546. Acesso em: 27 jul. 2024.
APA
Oliveira, R. P. de, Achcar, J. A., Chen, C., & Rodrigues, E. R. (2022). Non-homogeneous Poisson and linear regression models as approaches to study time series with change-points. Communications in Statistics: Case Studies, Data Analysis and Applications, 8( 2), 331-353. doi:10.1080/23737484.2022.2056546
NLM
Oliveira RP de, Achcar JA, Chen C, Rodrigues ER. Non-homogeneous Poisson and linear regression models as approaches to study time series with change-points [Internet]. Communications in Statistics: Case Studies, Data Analysis and Applications. 2022 ; 8( 2): 331-353.[citado 2024 jul. 27 ] Available from: https://doi.org/10.1080/23737484.2022.2056546
Vancouver
Oliveira RP de, Achcar JA, Chen C, Rodrigues ER. Non-homogeneous Poisson and linear regression models as approaches to study time series with change-points [Internet]. Communications in Statistics: Case Studies, Data Analysis and Applications. 2022 ; 8( 2): 331-353.[citado 2024 jul. 27 ] Available from: https://doi.org/10.1080/23737484.2022.2056546
Artigo de periodico
Bivariate stochastic volatility models applied to air pollution data (2008)
Achcar, Jorge Alberto ; Zozolotto, Henrique Ceretta; Rodrigues, Eliane R.
Source: Revista Brasileira de Biometria. Unidade: ICMC
Subjects: MODELOS PARA PROCESSOS ESTOCÁSTICOS, INFERÊNCIA BAYESIANA, MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ACHCAR, Jorge Alberto e ZOZOLOTTO, Henrique Ceretta e RODRIGUES, Eliane R. Bivariate stochastic volatility models applied to air pollution data. Revista Brasileira de Biometria, v. 26, n. 4, p. 67-81, 2008Tradução . . Acesso em: 27 jul. 2024.
APA
Achcar, J. A., Zozolotto, H. C., & Rodrigues, E. R. (2008). Bivariate stochastic volatility models applied to air pollution data. Revista Brasileira de Biometria, 26( 4), 67-81.
NLM
Achcar JA, Zozolotto HC, Rodrigues ER. Bivariate stochastic volatility models applied to air pollution data. Revista Brasileira de Biometria. 2008 ; 26( 4): 67-81.[citado 2024 jul. 27 ]
Vancouver
Achcar JA, Zozolotto HC, Rodrigues ER. Bivariate stochastic volatility models applied to air pollution data. Revista Brasileira de Biometria. 2008 ; 26( 4): 67-81.[citado 2024 jul. 27 ]

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