Filtros : "Communications in Statistics - Simulation and Computation" "DISTRIBUIÇÕES (PROBABILIDADE)" Removido: "HETEROSCEDASTICIDADE" Limpar

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

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

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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: 06 dez. 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 dez. 06 ] 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 dez. 06 ] Available from: https://doi.org/10.1080/03610918.2020.1746339
  • Source: Communications in Statistics - Simulation and Computation. Unidades: ICMC, Interinstitucional de Pós-Graduação em Estatística

    Subjects: ANÁLISE DE SOBREVIVÊNCIA, DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA

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      CANCHO, Vicente Garibay et al. A multivariate survival model induced by discrete frailty. Communications in Statistics - Simulation and Computation, v. 51, n. 11, p. 6572-6590, 2022Tradução . . Disponível em: https://doi.org/10.1080/03610918.2020.1806323. Acesso em: 06 dez. 2025.
    • APA

      Cancho, V. G., Suzuki, A. K., Barriga, G. D. C., & Santo, A. P. J. do E. (2022). A multivariate survival model induced by discrete frailty. Communications in Statistics - Simulation and Computation, 51( 11), 6572-6590. doi:10.1080/03610918.2020.1806323
    • NLM

      Cancho VG, Suzuki AK, Barriga GDC, Santo APJ do E. A multivariate survival model induced by discrete frailty [Internet]. Communications in Statistics - Simulation and Computation. 2022 ; 51( 11): 6572-6590.[citado 2025 dez. 06 ] Available from: https://doi.org/10.1080/03610918.2020.1806323
    • Vancouver

      Cancho VG, Suzuki AK, Barriga GDC, Santo APJ do E. A multivariate survival model induced by discrete frailty [Internet]. Communications in Statistics - Simulation and Computation. 2022 ; 51( 11): 6572-6590.[citado 2025 dez. 06 ] Available from: https://doi.org/10.1080/03610918.2020.1806323
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ESALQ

    Subjects: DADOS CENSURADOS, DISTRIBUIÇÕES (PROBABILIDADE), MÉTODO DE MONTE CARLO, VEROSSIMILHANÇA

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      PRATAVIERA, Fabio e ORTEGA, Edwin Moises Marcos e CORDEIRO, Gauss M. An extended Maxwell semiparametric regression for censored and uncensored data. Communications in Statistics - Simulation and Computation, 2021Tradução . . Disponível em: https://doi.org/10.1080/03610918.2021.1934021. Acesso em: 06 dez. 2025.
    • APA

      Prataviera, F., Ortega, E. M. M., & Cordeiro, G. M. (2021). An extended Maxwell semiparametric regression for censored and uncensored data. Communications in Statistics - Simulation and Computation. doi:10.1080/03610918.2021.1934021
    • NLM

      Prataviera F, Ortega EMM, Cordeiro GM. An extended Maxwell semiparametric regression for censored and uncensored data [Internet]. Communications in Statistics - Simulation and Computation. 2021 ;[citado 2025 dez. 06 ] Available from: https://doi.org/10.1080/03610918.2021.1934021
    • Vancouver

      Prataviera F, Ortega EMM, Cordeiro GM. An extended Maxwell semiparametric regression for censored and uncensored data [Internet]. Communications in Statistics - Simulation and Computation. 2021 ;[citado 2025 dez. 06 ] Available from: https://doi.org/10.1080/03610918.2021.1934021
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ICMC

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

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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: 06 dez. 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 dez. 06 ] 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 dez. 06 ] Available from: https://doi.org/10.1080/03610918.2018.1491988
  • Source: Communications in Statistics - Simulation and Computation. Unidade: IME

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), MÉTODO DE MONTE CARLO, ANÁLISE DE RISCO

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      GOMES, M. Ivette et al. Corrected-Hill versus partially reduced-bias value-at-risk estimation. Communications in Statistics - Simulation and Computation, v. 49, n. 4, 2020Tradução . . Disponível em: https://doi.org/10.1080/03610918.2018.1489053. Acesso em: 06 dez. 2025.
    • APA

      Gomes, M. I., Caeiro, F., Figueiredo, F., Rodrigues, L. C. P. H. J., & Pestana, D. (2020). Corrected-Hill versus partially reduced-bias value-at-risk estimation. Communications in Statistics - Simulation and Computation, 49( 4). doi:10.1080/03610918.2018.1489053
    • NLM

      Gomes MI, Caeiro F, Figueiredo F, Rodrigues LCPHJ, Pestana D. Corrected-Hill versus partially reduced-bias value-at-risk estimation [Internet]. Communications in Statistics - Simulation and Computation. 2020 ; 49( 4):[citado 2025 dez. 06 ] Available from: https://doi.org/10.1080/03610918.2018.1489053
    • Vancouver

      Gomes MI, Caeiro F, Figueiredo F, Rodrigues LCPHJ, Pestana D. Corrected-Hill versus partially reduced-bias value-at-risk estimation [Internet]. Communications in Statistics - Simulation and Computation. 2020 ; 49( 4):[citado 2025 dez. 06 ] Available from: https://doi.org/10.1080/03610918.2018.1489053
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ESALQ

    Subjects: REGRESSÃO LINEAR, VEROSSIMILHANÇA, DISTRIBUIÇÕES (PROBABILIDADE)

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    • ABNT

      ALIZADEH, Morad et al. A new useful four-parameter extension of the Gumbel distribution: properties, regression model and applications using the GAMLSS framework. Communications in Statistics - Simulation and Computation, v. 48, n. 6, p. 1746–1767, 2019Tradução . . Disponível em: https://doi.org/10.1080/03610918.2018.1423691. Acesso em: 06 dez. 2025.
    • APA

      Alizadeh, M., Ramires, T. G., Mirmostafaee, S. M. T. K., Samizadeh, M., & Ortega, E. M. M. (2019). A new useful four-parameter extension of the Gumbel distribution: properties, regression model and applications using the GAMLSS framework. Communications in Statistics - Simulation and Computation, 48( 6), 1746–1767. doi:10.1080/03610918.2018.1423691
    • NLM

      Alizadeh M, Ramires TG, Mirmostafaee SMTK, Samizadeh M, Ortega EMM. A new useful four-parameter extension of the Gumbel distribution: properties, regression model and applications using the GAMLSS framework [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 48( 6): 1746–1767.[citado 2025 dez. 06 ] Available from: https://doi.org/10.1080/03610918.2018.1423691
    • Vancouver

      Alizadeh M, Ramires TG, Mirmostafaee SMTK, Samizadeh M, Ortega EMM. A new useful four-parameter extension of the Gumbel distribution: properties, regression model and applications using the GAMLSS framework [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 48( 6): 1746–1767.[citado 2025 dez. 06 ] Available from: https://doi.org/10.1080/03610918.2018.1423691
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ICMC

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), MODELOS EM SÉRIES TEMPORAIS, CHUVA

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      MILANI, Eder Angelo et al. A Bernoulli autoregressive moving average model applied to rainfall occurrence. Communications in Statistics - Simulation and Computation, v. 48, n. 9, p. 2743-2756, 2019Tradução . . Disponível em: https://doi.org/10.1080/03610918.2018.1468453. Acesso em: 06 dez. 2025.
    • APA

      Milani, E. A., Hartmann, M., Andrade, M. G. de, & Diniz, C. A. R. (2019). A Bernoulli autoregressive moving average model applied to rainfall occurrence. Communications in Statistics - Simulation and Computation, 48( 9), 2743-2756. doi:10.1080/03610918.2018.1468453
    • NLM

      Milani EA, Hartmann M, Andrade MG de, Diniz CAR. A Bernoulli autoregressive moving average model applied to rainfall occurrence [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 48( 9): 2743-2756.[citado 2025 dez. 06 ] Available from: https://doi.org/10.1080/03610918.2018.1468453
    • Vancouver

      Milani EA, Hartmann M, Andrade MG de, Diniz CAR. A Bernoulli autoregressive moving average model applied to rainfall occurrence [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 48( 9): 2743-2756.[citado 2025 dez. 06 ] Available from: https://doi.org/10.1080/03610918.2018.1468453
  • Source: Communications in Statistics - Simulation and Computation. Unidades: ESALQ, ICMC

    Subjects: ANÁLISE DE SOBREVIVÊNCIA, DADOS CENSURADOS, DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, VEROSSIMILHANÇA

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      OZEL, Gamze et al. The odd log-logistic Lindley Poisson model for lifetime data. Communications in Statistics - Simulation and Computation, v. 46, n. 8, p. 6513-6537, 2017Tradução . . Disponível em: https://doi.org/10.1080/03610918.2016.1206931. Acesso em: 06 dez. 2025.
    • APA

      Ozel, G., Alizadeh, M., Cakmakyapan, S., Hamedani, G. G., Ortega, E. M. M., & Cancho, V. G. (2017). The odd log-logistic Lindley Poisson model for lifetime data. Communications in Statistics - Simulation and Computation, 46( 8), 6513-6537. doi:10.1080/03610918.2016.1206931
    • NLM

      Ozel G, Alizadeh M, Cakmakyapan S, Hamedani GG, Ortega EMM, Cancho VG. The odd log-logistic Lindley Poisson model for lifetime data [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 8): 6513-6537.[citado 2025 dez. 06 ] Available from: https://doi.org/10.1080/03610918.2016.1206931
    • Vancouver

      Ozel G, Alizadeh M, Cakmakyapan S, Hamedani GG, Ortega EMM, Cancho VG. The odd log-logistic Lindley Poisson model for lifetime data [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 8): 6513-6537.[citado 2025 dez. 06 ] Available from: https://doi.org/10.1080/03610918.2016.1206931
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ICMC

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA

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      DEY, Sanku et al. Exponentiated chen distribution: properties and estimation. Communications in Statistics - Simulation and Computation, v. 46, n. 10, p. 8118-8139, 2017Tradução . . Disponível em: https://doi.org/10.1080/03610918.2016.1267752. Acesso em: 06 dez. 2025.
    • APA

      Dey, S., Kumar, D., Ramos, P. L., & Louzada, F. (2017). Exponentiated chen distribution: properties and estimation. Communications in Statistics - Simulation and Computation, 46( 10), 8118-8139. doi:10.1080/03610918.2016.1267752
    • NLM

      Dey S, Kumar D, Ramos PL, Louzada F. Exponentiated chen distribution: properties and estimation [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 10): 8118-8139.[citado 2025 dez. 06 ] Available from: https://doi.org/10.1080/03610918.2016.1267752
    • Vancouver

      Dey S, Kumar D, Ramos PL, Louzada F. Exponentiated chen distribution: properties and estimation [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 10): 8118-8139.[citado 2025 dez. 06 ] Available from: https://doi.org/10.1080/03610918.2016.1267752

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