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

    Subjects: AMOSTRAGEM, INFERÊNCIA ESTATÍSTICA, MÉTODO DE MONTE CARLO, REAMOSTRAGEM BOOTSTRAP, TEORIA ASSINTÓTICA, VEROSSIMILHANÇA

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    • ABNT

      TACONELI, Cesar Augusto e LARA, Idemauro Antonio Rodrigues de. Evaluation of maximum likelihood procedures in ranked set sampling under imperfect ranking. Communications in Statistics - Simulation and Computation, p. 1-23, 2023Tradução . . Disponível em: https://doi.org/10.1080/03610918.2023.2196749. Acesso em: 30 nov. 2025.
    • APA

      Taconeli, C. A., & Lara, I. A. R. de. (2023). Evaluation of maximum likelihood procedures in ranked set sampling under imperfect ranking. Communications in Statistics - Simulation and Computation, 1-23. doi:10.1080/03610918.2023.2196749
    • NLM

      Taconeli CA, Lara IAR de. Evaluation of maximum likelihood procedures in ranked set sampling under imperfect ranking [Internet]. Communications in Statistics - Simulation and Computation. 2023 ; 1-23.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1080/03610918.2023.2196749
    • Vancouver

      Taconeli CA, Lara IAR de. Evaluation of maximum likelihood procedures in ranked set sampling under imperfect ranking [Internet]. Communications in Statistics - Simulation and Computation. 2023 ; 1-23.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1080/03610918.2023.2196749
  • 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: 30 nov. 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 nov. 30 ] 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 nov. 30 ] Available from: https://doi.org/10.1080/03610918.2020.1746339
  • Source: Communications in Statistics - Simulation and Computation. Unidades: ESALQ, ICMC

    Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, INFERÊNCIA SEMIPARAMÉTRICA, MÉTODO DE MONTE CARLO, MODELOS MATEMÁTICOS, VEROSSIMILHANÇA

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    • ABNT

      PRATAVIERA, Fabio et al. The exponentiated power exponential semiparametric regression model. Communications in Statistics - Simulation and Computation, v. 51, n. 10, p. 5933-5953, 2022Tradução . . Disponível em: https://doi.org/10.1080/03610918.2020.1788585. Acesso em: 30 nov. 2025.
    • APA

      Prataviera, F., Ortega, E. M. M., Cordeiro, G. M., & Cancho, V. G. (2022). The exponentiated power exponential semiparametric regression model. Communications in Statistics - Simulation and Computation, 51( 10), 5933-5953. doi:10.1080/03610918.2020.1788585
    • NLM

      Prataviera F, Ortega EMM, Cordeiro GM, Cancho VG. The exponentiated power exponential semiparametric regression model [Internet]. Communications in Statistics - Simulation and Computation. 2022 ; 51( 10): 5933-5953.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1080/03610918.2020.1788585
    • Vancouver

      Prataviera F, Ortega EMM, Cordeiro GM, Cancho VG. The exponentiated power exponential semiparametric regression model [Internet]. Communications in Statistics - Simulation and Computation. 2022 ; 51( 10): 5933-5953.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1080/03610918.2020.1788585
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ESALQ

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

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    • ABNT

      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: 30 nov. 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 nov. 30 ] 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 nov. 30 ] 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: 30 nov. 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 nov. 30 ] 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 nov. 30 ] Available from: https://doi.org/10.1080/03610918.2018.1491988
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ESALQ

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

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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, v. 48, n. 4, p. 1019–1039, 2019Tradução . . Disponível em: https://doi.org/10.1080/03610918.2017.1406504. Acesso em: 30 nov. 2025.
    • APA

      Lara, I. A. R. de, Hinde, J., & Taconeli, C. A. (2019). Global and local tests to assess stationarity of Markov transition models. Communications in Statistics - Simulation and Computation, 48( 4), 1019–1039. 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. 2019 ; 48( 4): 1019–1039.[citado 2025 nov. 30 ] 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. 2019 ; 48( 4): 1019–1039.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1080/03610918.2017.1406504
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ESALQ

    Subjects: REGRESSÃO LINEAR, VEROSSIMILHANÇA, DISTRIBUIÇÕES (PROBABILIDADE)

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      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: 30 nov. 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 nov. 30 ] 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 nov. 30 ] Available from: https://doi.org/10.1080/03610918.2018.1423691
  • 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: 30 nov. 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 nov. 30 ] 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 nov. 30 ] 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: 30 nov. 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 nov. 30 ] 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 nov. 30 ] Available from: https://doi.org/10.1080/03610918.2016.1267752

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