Filtros : "ACHCAR, JORGE ALBERTO" "Índia" Removido: "Anais" Limpar

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  • Source: International Journal of Environment and Climate Change. Unidade: FMRP

    Subjects: CLIMA, MÉTODOS MCMC, INFERÊNCIA BAYESIANA

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      ACHCAR, Jorge Alberto e BARILI, Emerson. Climate Change Data: Use of an Autoregressive (AR) Model in Presence of Change Points under a Bayesian Approach. International Journal of Environment and Climate Change, v. 13, n. 6, p. 23-47, 2023Tradução . . Disponível em: https://doi.org/10.9734/ijecc/2023/v13i61795. Acesso em: 27 jul. 2024.
    • APA

      Achcar, J. A., & Barili, E. (2023). Climate Change Data: Use of an Autoregressive (AR) Model in Presence of Change Points under a Bayesian Approach. International Journal of Environment and Climate Change, 13( 6), 23-47. doi:10.9734/ijecc/2023/v13i61795
    • NLM

      Achcar JA, Barili E. Climate Change Data: Use of an Autoregressive (AR) Model in Presence of Change Points under a Bayesian Approach [Internet]. International Journal of Environment and Climate Change. 2023 ; 13( 6): 23-47.[citado 2024 jul. 27 ] Available from: https://doi.org/10.9734/ijecc/2023/v13i61795
    • Vancouver

      Achcar JA, Barili E. Climate Change Data: Use of an Autoregressive (AR) Model in Presence of Change Points under a Bayesian Approach [Internet]. International Journal of Environment and Climate Change. 2023 ; 13( 6): 23-47.[citado 2024 jul. 27 ] Available from: https://doi.org/10.9734/ijecc/2023/v13i61795
  • Source: International Journal of Environment and Climate Change. Unidade: FMRP

    Subjects: MUDANÇA CLIMÁTICA, INFERÊNCIA BAYESIANA, MÉTODOS MCMC

    Versão PublicadaAcesso à fonteDOIHow to cite
    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
  • Source: International Journal of Modern Research in Engineering and Technology (IJMRET). Unidades: EESC, FMRP

    Subjects: ESTATÍSTICA APLICADA, MODELOS (ANÁLISE MULTIVARIADA), TRANSPORTE AÉREO

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    • ABNT

      BONETTE, Luiz Rodrigo e AZZOLINI JÚNIOR, Walter e ACHCAR, Jorge Alberto. A study of the temporal flow of passenger and cargo transport in a Brazilian region: use of different statistical models for better forecasts and discovery of important factors that affect the efficiency of the Brazilian air transport system. International Journal of Modern Research in Engineering and Technology (IJMRET), v. 3, n. 7, p. 35-56, 2018Tradução . . Disponível em: https://www.academia.edu/38109212/A_study_of_the_temporal_flow_of_passenger_and_cargo_transport_in_a_Brazilian_region_use_of_different_statistical_models_for_better_forecasts_and_discovery_of_important_factors_that_affect_the_efficiency_of_the_Brazilian_air_transport_system. Acesso em: 27 jul. 2024.
    • APA

      Bonette, L. R., Azzolini Júnior, W., & Achcar, J. A. (2018). A study of the temporal flow of passenger and cargo transport in a Brazilian region: use of different statistical models for better forecasts and discovery of important factors that affect the efficiency of the Brazilian air transport system. International Journal of Modern Research in Engineering and Technology (IJMRET), 3( 7), 35-56. Recuperado de https://www.academia.edu/38109212/A_study_of_the_temporal_flow_of_passenger_and_cargo_transport_in_a_Brazilian_region_use_of_different_statistical_models_for_better_forecasts_and_discovery_of_important_factors_that_affect_the_efficiency_of_the_Brazilian_air_transport_system
    • NLM

      Bonette LR, Azzolini Júnior W, Achcar JA. A study of the temporal flow of passenger and cargo transport in a Brazilian region: use of different statistical models for better forecasts and discovery of important factors that affect the efficiency of the Brazilian air transport system [Internet]. International Journal of Modern Research in Engineering and Technology (IJMRET). 2018 ; 3( 7): 35-56.[citado 2024 jul. 27 ] Available from: https://www.academia.edu/38109212/A_study_of_the_temporal_flow_of_passenger_and_cargo_transport_in_a_Brazilian_region_use_of_different_statistical_models_for_better_forecasts_and_discovery_of_important_factors_that_affect_the_efficiency_of_the_Brazilian_air_transport_system
    • Vancouver

      Bonette LR, Azzolini Júnior W, Achcar JA. A study of the temporal flow of passenger and cargo transport in a Brazilian region: use of different statistical models for better forecasts and discovery of important factors that affect the efficiency of the Brazilian air transport system [Internet]. International Journal of Modern Research in Engineering and Technology (IJMRET). 2018 ; 3( 7): 35-56.[citado 2024 jul. 27 ] Available from: https://www.academia.edu/38109212/A_study_of_the_temporal_flow_of_passenger_and_cargo_transport_in_a_Brazilian_region_use_of_different_statistical_models_for_better_forecasts_and_discovery_of_important_factors_that_affect_the_efficiency_of_the_Brazilian_air_transport_system

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