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Filtros : "FEA-EAC" "SOUZA, RAFAEL DE FREITAS" Removidos: "Universidade de São Paulo (USP)" "Programa "Elis, Vagner Roberto" "LES" Limpar

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  • Artigo de periodico

    Global relationship between economic growth and CO2 emissions across time: a multilevel approach (2022)

    Fávero, Luiz Paulo Lopes ; Souza, Rafael de Freitas ; Belfiore, Patrícia; Luppe, Marcos Roberto ; Severo, Marcos

    Source: International Journal of Global Warming. Unidades: FEA, EACH

    Assunto: ECONOMIA

    Acesso à fonteHow to cite
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    • ABNT

      FÁVERO, Luiz Paulo Lopes et al. Global relationship between economic growth and CO2 emissions across time: a multilevel approach. International Journal of Global Warming, v. 26, n. 1, p. 38-63, 2022Tradução . . Disponível em: http://www.inderscience.com/storage/f851234191061172.pdf. Acesso em: 14 jun. 2024.

    • APA

      Fávero, L. P. L., Souza, R. de F., Belfiore, P., Luppe, M. R., & Severo, M. (2022). Global relationship between economic growth and CO2 emissions across time: a multilevel approach. International Journal of Global Warming, 26( 1), 38-63. Recuperado de http://www.inderscience.com/storage/f851234191061172.pdf

    • NLM

      Fávero LPL, Souza R de F, Belfiore P, Luppe MR, Severo M. Global relationship between economic growth and CO2 emissions across time: a multilevel approach [Internet]. International Journal of Global Warming. 2022 ; 26( 1): 38-63.[citado 2024 jun. 14 ] Available from: http://www.inderscience.com/storage/f851234191061172.pdf

    • Vancouver

      Fávero LPL, Souza R de F, Belfiore P, Luppe MR, Severo M. Global relationship between economic growth and CO2 emissions across time: a multilevel approach [Internet]. International Journal of Global Warming. 2022 ; 26( 1): 38-63.[citado 2024 jun. 14 ] Available from: http://www.inderscience.com/storage/f851234191061172.pdf

  • Artigo de periodico

    Multilevel evidence on how policymakers may reduce avoidable deaths due to COVID-19: the case of Brazil (2022)

    Souza, Rafael de Freitas ; Fávero, Luiz Paulo Lopes ; Haddad, Michel Ferreira Cardia; Corrêa, Hamilton Luiz

    Source: International Journal of Mathematics in Operational Research. Unidades: FEARP, FEA

    Subjects: MODELAGEM DE DADOS, COVID-19, PAÍSES EM DESENVOLVIMENTO

    DOIHow to cite
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    • ABNT

      SOUZA, Rafael de Freitas et al. Multilevel evidence on how policymakers may reduce avoidable deaths due to COVID-19: the case of Brazil. International Journal of Mathematics in Operational Research, v. 21, n. 3, p. 321-337, 2022Tradução . . Acesso em: 14 jun. 2024.

    • APA

      Souza, R. de F., Fávero, L. P. L., Haddad, M. F. C., & Corrêa, H. L. (2022). Multilevel evidence on how policymakers may reduce avoidable deaths due to COVID-19: the case of Brazil. International Journal of Mathematics in Operational Research, 21( 3), 321-337. doi:10.1504/IJMOR.2022.122218

    • NLM

      Souza R de F, Fávero LPL, Haddad MFC, Corrêa HL. Multilevel evidence on how policymakers may reduce avoidable deaths due to COVID-19: the case of Brazil. International Journal of Mathematics in Operational Research. 2022 ; 21( 3): 321-337.[citado 2024 jun. 14 ]

    • Vancouver

      Souza R de F, Fávero LPL, Haddad MFC, Corrêa HL. Multilevel evidence on how policymakers may reduce avoidable deaths due to COVID-19: the case of Brazil. International Journal of Mathematics in Operational Research. 2022 ; 21( 3): 321-337.[citado 2024 jun. 14 ]

  • Artigo de periodico

    Overdisp: an R package for direct detection of overdispersion in count data multiple regression analysis (2022)

    Souza, Rafael de Freitas ; Fávero, Luiz Paulo Lopes ; Belfiore, Patrícia; Corrêa, Hamilton Luiz

    Source: International Journal of Business Intelligence and Data Mining. Unidades: FEARP, FEA

    Subjects: DADOS DE CONTAGEM, R (SOFTWARE ESTATÍSTICO)

    DOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      SOUZA, Rafael de Freitas et al. Overdisp: an R package for direct detection of overdispersion in count data multiple regression analysis. International Journal of Business Intelligence and Data Mining, v. 20, n. 3, p. 327-344, 2022Tradução . . Acesso em: 14 jun. 2024.

    • APA

      Souza, R. de F., Fávero, L. P. L., Belfiore, P., & Corrêa, H. L. (2022). Overdisp: an R package for direct detection of overdispersion in count data multiple regression analysis. International Journal of Business Intelligence and Data Mining, 20( 3), 327-344. doi:10.1504/IJBIDM.2022.122157

    • NLM

      Souza R de F, Fávero LPL, Belfiore P, Corrêa HL. Overdisp: an R package for direct detection of overdispersion in count data multiple regression analysis. International Journal of Business Intelligence and Data Mining. 2022 ; 20( 3): 327-344.[citado 2024 jun. 14 ]

    • Vancouver

      Souza R de F, Fávero LPL, Belfiore P, Corrêa HL. Overdisp: an R package for direct detection of overdispersion in count data multiple regression analysis. International Journal of Business Intelligence and Data Mining. 2022 ; 20( 3): 327-344.[citado 2024 jun. 14 ]

  • Artigo de periodico

    Zero-inflated generalized linear mixed models: a better way to understand data relationships (2021)

    Fávero, Luiz Paulo Lopes ; Hair Jr., Joseph F; Souza, Rafael de Freitas ; Albergaria, Matheus; Brugni, Talles Vianna

    Source: Mathematics. Unidade: FEA

    Subjects: ESTATÍSTICA APLICADA, PROBABILIDADE, REGRESSÃO LINEAR

    Acesso à fonteAcesso à fonteDOIHow to cite
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    • ABNT

      FÁVERO, Luiz Paulo Lopes et al. Zero-inflated generalized linear mixed models: a better way to understand data relationships. Mathematics, v. 9, n. 10, p. 1-28, 2021Tradução . . Disponível em: https://doi.org/10.3390/math9101100. Acesso em: 14 jun. 2024.

    • APA

      Fávero, L. P. L., Hair Jr., J. F., Souza, R. de F., Albergaria, M., & Brugni, T. V. (2021). Zero-inflated generalized linear mixed models: a better way to understand data relationships. Mathematics, 9( 10), 1-28. doi:10.3390/math9101100

    • NLM

      Fávero LPL, Hair Jr. JF, Souza R de F, Albergaria M, Brugni TV. Zero-inflated generalized linear mixed models: a better way to understand data relationships [Internet]. Mathematics. 2021 ; 9( 10): 1-28.[citado 2024 jun. 14 ] Available from: https://doi.org/10.3390/math9101100

    • Vancouver

      Fávero LPL, Hair Jr. JF, Souza R de F, Albergaria M, Brugni TV. Zero-inflated generalized linear mixed models: a better way to understand data relationships [Internet]. Mathematics. 2021 ; 9( 10): 1-28.[citado 2024 jun. 14 ] Available from: https://doi.org/10.3390/math9101100

  • Artigo de periodico

    Count data regression analysis: concepts, overdispersion detection, zero-inflation identification, and applications with R (2021)

    Fávero, Luiz Paulo Lopes ; Souza, Rafael de Freitas ; Belfiore, Patrícia Prado; Corrêa, Hamilton Luiz; Haddad, Michel F. C

    Source: Practical Assessment, Research & Evaluation. Unidade: FEA

    Subjects: ESTATÍSTICA APLICADA, PROBABILIDADE, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO

    Acesso à fonteAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      FÁVERO, Luiz Paulo Lopes et al. Count data regression analysis: concepts, overdispersion detection, zero-inflation identification, and applications with R. Practical Assessment, Research & Evaluation, v. 26 , n. Ju 2021, p. 1-22, 2021Tradução . . Disponível em: https://doi.org/10.7275/44nn-cj68. Acesso em: 14 jun. 2024.

    • APA

      Fávero, L. P. L., Souza, R. de F., Belfiore, P. P., Corrêa, H. L., & Haddad, M. F. C. (2021). Count data regression analysis: concepts, overdispersion detection, zero-inflation identification, and applications with R. Practical Assessment, Research & Evaluation, 26 ( Ju 2021), 1-22. doi:10.7275/44nn-cj68

    • NLM

      Fávero LPL, Souza R de F, Belfiore PP, Corrêa HL, Haddad MFC. Count data regression analysis: concepts, overdispersion detection, zero-inflation identification, and applications with R [Internet]. Practical Assessment, Research & Evaluation. 2021 ; 26 ( Ju 2021): 1-22.[citado 2024 jun. 14 ] Available from: https://doi.org/10.7275/44nn-cj68

    • Vancouver

      Fávero LPL, Souza R de F, Belfiore PP, Corrêa HL, Haddad MFC. Count data regression analysis: concepts, overdispersion detection, zero-inflation identification, and applications with R [Internet]. Practical Assessment, Research & Evaluation. 2021 ; 26 ( Ju 2021): 1-22.[citado 2024 jun. 14 ] Available from: https://doi.org/10.7275/44nn-cj68
  • 1

1 - 5 (5 records)

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