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Filtros : "Communications in Statistics - Simulation and Computation" "Financiado pela FAPESP" Removido: "Financiamento FAPESP" Limpar

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  • Artigo de periodico

    The polynomial-exponential distribution: a continuous probability model allowing for occurrence of zero values (2022)

    Chesneau, Christophe ; Bakouch, Hassan S ; Ramos, Pedro Luiz ; Louzada, Francisco

    Source: Communications in Statistics - Simulation and Computation. Unidade: ICMC

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA, SIMULAÇÃO (ESTATÍSTICA)

    Versão AceitaAcesso à fonteDOIHow to cite
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    • ABNT

      CHESNEAU, Christophe et al. The polynomial-exponential distribution: a continuous probability model allowing for occurrence of zero values. Communications in Statistics - Simulation and Computation, v. 51, n. 8, p. 4581-4606, 2022Tradução . . Disponível em: https://doi.org/10.1080/03610918.2020.1746339. Acesso em: 13 jul. 2025.

    • APA

      Chesneau, C., Bakouch, H. S., Ramos, P. L., & Louzada, F. (2022). The polynomial-exponential distribution: a continuous probability model allowing for occurrence of zero values. Communications in Statistics - Simulation and Computation, 51( 8), 4581-4606. doi:10.1080/03610918.2020.1746339

    • NLM

      Chesneau C, Bakouch HS, Ramos PL, Louzada F. The polynomial-exponential distribution: a continuous probability model allowing for occurrence of zero values [Internet]. Communications in Statistics - Simulation and Computation. 2022 ; 51( 8): 4581-4606.[citado 2025 jul. 13 ] Available from: https://doi.org/10.1080/03610918.2020.1746339

    • Vancouver

      Chesneau C, Bakouch HS, Ramos PL, Louzada F. The polynomial-exponential distribution: a continuous probability model allowing for occurrence of zero values [Internet]. Communications in Statistics - Simulation and Computation. 2022 ; 51( 8): 4581-4606.[citado 2025 jul. 13 ] Available from: https://doi.org/10.1080/03610918.2020.1746339

  • Artigo de periodico

    Exponential-Poisson distribution: estimation and applications to rainfall and aircraft data with zero occurrence (2020)

    Louzada, Francisco ; Ramos, Pedro Luiz ; Ferreira, Paulo Henrique

    Source: Communications in Statistics - Simulation and Computation. Unidade: ICMC

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA, ESTIMAÇÃO PARAMÉTRICA, METEOROLOGIA

    Versão AceitaAcesso à fonteDOIHow to cite
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    • ABNT

      LOUZADA, Francisco e RAMOS, Pedro Luiz e FERREIRA, Paulo Henrique. Exponential-Poisson distribution: estimation and applications to rainfall and aircraft data with zero occurrence. Communications in Statistics - Simulation and Computation, v. 49, n. 4, p. 1024-1043, 2020Tradução . . Disponível em: https://doi.org/10.1080/03610918.2018.1491988. Acesso em: 13 jul. 2025.

    • APA

      Louzada, F., Ramos, P. L., & Ferreira, P. H. (2020). Exponential-Poisson distribution: estimation and applications to rainfall and aircraft data with zero occurrence. Communications in Statistics - Simulation and Computation, 49( 4), 1024-1043. doi:10.1080/03610918.2018.1491988

    • NLM

      Louzada F, Ramos PL, Ferreira PH. Exponential-Poisson distribution: estimation and applications to rainfall and aircraft data with zero occurrence [Internet]. Communications in Statistics - Simulation and Computation. 2020 ; 49( 4): 1024-1043.[citado 2025 jul. 13 ] Available from: https://doi.org/10.1080/03610918.2018.1491988

    • Vancouver

      Louzada F, Ramos PL, Ferreira PH. Exponential-Poisson distribution: estimation and applications to rainfall and aircraft data with zero occurrence [Internet]. Communications in Statistics - Simulation and Computation. 2020 ; 49( 4): 1024-1043.[citado 2025 jul. 13 ] Available from: https://doi.org/10.1080/03610918.2018.1491988

  • Artigo de periodico

    Global and local tests to assess stationarity of Markov transition models (2018)

    Lara, Idemauro Antonio Rodrigues de; Hinde, John; Taconeli, Cesar Augusto

    Source: Communications in Statistics - Simulation and Computation. Unidade: ESALQ

    Subjects: MODELOS LINEARES GENERALIZADOS, DADOS CATEGORIZADOS, PROCESSOS DE MARKOV, VEROSSIMILHANÇA

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      LARA, Idemauro Antonio Rodrigues de e HINDE, John e TACONELI, Cesar Augusto. Global and local tests to assess stationarity of Markov transition models. Communications in Statistics - Simulation and Computation, p. 1-21, 2018Tradução . . Disponível em: https://doi.org/10.1080/03610918.2017.1406504. Acesso em: 13 jul. 2025.

    • APA

      Lara, I. A. R. de, Hinde, J., & Taconeli, C. A. (2018). Global and local tests to assess stationarity of Markov transition models. Communications in Statistics - Simulation and Computation, 1-21. doi:10.1080/03610918.2017.1406504

    • NLM

      Lara IAR de, Hinde J, Taconeli CA. Global and local tests to assess stationarity of Markov transition models [Internet]. Communications in Statistics - Simulation and Computation. 2018 ; 1-21.[citado 2025 jul. 13 ] Available from: https://doi.org/10.1080/03610918.2017.1406504

    • Vancouver

      Lara IAR de, Hinde J, Taconeli CA. Global and local tests to assess stationarity of Markov transition models [Internet]. Communications in Statistics - Simulation and Computation. 2018 ; 1-21.[citado 2025 jul. 13 ] Available from: https://doi.org/10.1080/03610918.2017.1406504
  • 1

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