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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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      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: 28 nov. 2025.
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      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. 28 ] 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. 28 ] Available from: https://doi.org/10.1080/03610918.2023.2196749
  • Source: Communications in Statistics - Simulation and Computation. Unidade: IME

    Assunto: REGRESSÃO LINEAR

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      FERREIRA, Clécio S. e BOLFARINE, Heleno e LACHOS, Victor Hugo. Linear mixed models based on skew scale mixtures of normal distributions. Communications in Statistics - Simulation and Computation, v. 51, n. 12, p. 7194-7214, 2022Tradução . . Disponível em: https://doi.org/10.1080/03610918.2020.1827265. Acesso em: 28 nov. 2025.
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      Ferreira, C. S., Bolfarine, H., & Lachos, V. H. (2022). Linear mixed models based on skew scale mixtures of normal distributions. Communications in Statistics - Simulation and Computation, 51( 12), 7194-7214. doi:10.1080/03610918.2020.1827265
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      Ferreira CS, Bolfarine H, Lachos VH. Linear mixed models based on skew scale mixtures of normal distributions [Internet]. Communications in Statistics - Simulation and Computation. 2022 ; 51( 12): 7194-7214.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1080/03610918.2020.1827265
    • Vancouver

      Ferreira CS, Bolfarine H, Lachos VH. Linear mixed models based on skew scale mixtures of normal distributions [Internet]. Communications in Statistics - Simulation and Computation. 2022 ; 51( 12): 7194-7214.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1080/03610918.2020.1827265
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ESALQ

    Subjects: DESENVOLVIMENTO HUMANO, MÉTODO DE MONTE CARLO, MODELOS MATEMÁTICOS, PROBABILIDADE, SIMULAÇÃO (ESTATÍSTICA), VEROSSIMILHANÇA

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      VASCONCELOS, Julio Cezar Souza et al. An extended logit-normal regression with application to human development index data. Communications in Statistics - Simulation and Computation, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1080/03610918.2022.2045497. Acesso em: 28 nov. 2025.
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      Vasconcelos, J. C. S., Prataviera, F., Ortega, E. M. M., & Cordeiro, G. M. (2022). An extended logit-normal regression with application to human development index data. Communications in Statistics - Simulation and Computation, 1-13. doi:10.1080/03610918.2022.2045497
    • NLM

      Vasconcelos JCS, Prataviera F, Ortega EMM, Cordeiro GM. An extended logit-normal regression with application to human development index data [Internet]. Communications in Statistics - Simulation and Computation. 2022 ; 1-13.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1080/03610918.2022.2045497
    • Vancouver

      Vasconcelos JCS, Prataviera F, Ortega EMM, Cordeiro GM. An extended logit-normal regression with application to human development index data [Internet]. Communications in Statistics - Simulation and Computation. 2022 ; 1-13.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1080/03610918.2022.2045497
  • Source: Communications in Statistics - Simulation and Computation. Unidade: FMRP

    Subjects: INFERÊNCIA BAYESIANA, ANÁLISE DE SOBREVIVÊNCIA

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      OLIVEIRA, Ricardo Puziol de e MAZUCHELI, Josmar e ACHCAR, Jorge Alberto. A generalization of Basu-Dhar’s bivariate geometric distribution to the trivariate case. Communications in Statistics - Simulation and Computation, v. 50, n. 12, p. 4388–4412, 2021Tradução . . Disponível em: https://doi.org/10.1080/03610918.2019.1643881. Acesso em: 28 nov. 2025.
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      Oliveira, R. P. de, Mazucheli, J., & Achcar, J. A. (2021). A generalization of Basu-Dhar’s bivariate geometric distribution to the trivariate case. Communications in Statistics - Simulation and Computation, 50( 12), 4388–4412. doi:10.1080/03610918.2019.1643881
    • NLM

      Oliveira RP de, Mazucheli J, Achcar JA. A generalization of Basu-Dhar’s bivariate geometric distribution to the trivariate case [Internet]. Communications in Statistics - Simulation and Computation. 2021 ; 50( 12): 4388–4412.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1080/03610918.2019.1643881
    • Vancouver

      Oliveira RP de, Mazucheli J, Achcar JA. A generalization of Basu-Dhar’s bivariate geometric distribution to the trivariate case [Internet]. Communications in Statistics - Simulation and Computation. 2021 ; 50( 12): 4388–4412.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1080/03610918.2019.1643881
  • 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: 28 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. 28 ] 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. 28 ] Available from: https://doi.org/10.1080/03610918.2021.1934021
  • 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: 28 nov. 2025.
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      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 nov. 28 ] 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 nov. 28 ] Available from: https://doi.org/10.1080/03610918.2018.1489053
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ESALQ

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

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      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: 28 nov. 2025.
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      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. 28 ] 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. 28 ] Available from: https://doi.org/10.1080/03610918.2017.1406504
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ESALQ

    Subjects: AMOSTRAGEM, CONTROLE ESTATÍSTICO DO PROCESSO, GRÁFICOS, MÉTODO DE MONTE CARLO, SIMULAÇÃO

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      SANTORE, Fabiola e TACONELI, Cesar Augusto e LARA, Idemauro Antonio Rodrigues de. An adaptive control chart for the process location based on ranked set sampling. Communications in Statistics - Simulation and Computation, p. 1-19, 2019Tradução . . Disponível em: https://doi.org/10.1080/03610918.2019.1622722. Acesso em: 28 nov. 2025.
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      Santore, F., Taconeli, C. A., & Lara, I. A. R. de. (2019). An adaptive control chart for the process location based on ranked set sampling. Communications in Statistics - Simulation and Computation, 1-19. doi:10.1080/03610918.2019.1622722
    • NLM

      Santore F, Taconeli CA, Lara IAR de. An adaptive control chart for the process location based on ranked set sampling [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 1-19.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1080/03610918.2019.1622722
    • Vancouver

      Santore F, Taconeli CA, Lara IAR de. An adaptive control chart for the process location based on ranked set sampling [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 1-19.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1080/03610918.2019.1622722
  • 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: 28 nov. 2025.
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      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. 28 ] 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. 28 ] Available from: https://doi.org/10.1080/03610918.2018.1423691
  • Source: Communications in Statistics - Simulation and Computation. Unidade: IME

    Subjects: INFERÊNCIA BAYESIANA, TESTES DE HIPÓTESES

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      ASSANE, Cachimo Combo e PEREIRA, Basilio de Braganca e PEREIRA, Carlos Alberto de Bragança. Model choice in separate families: a comparison between the FBST and the Cox test. Communications in Statistics - Simulation and Computation, v. 48, n. 9, p. 2641–2654, 2019Tradução . . Disponível em: https://doi.org/10.1080/03610918.2018.1458139. Acesso em: 28 nov. 2025.
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      Assane, C. C., Pereira, B. de B., & Pereira, C. A. de B. (2019). Model choice in separate families: a comparison between the FBST and the Cox test. Communications in Statistics - Simulation and Computation, 48( 9), 2641–2654. doi:10.1080/03610918.2018.1458139
    • NLM

      Assane CC, Pereira B de B, Pereira CA de B. Model choice in separate families: a comparison between the FBST and the Cox test [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 48( 9): 2641–2654.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1080/03610918.2018.1458139
    • Vancouver

      Assane CC, Pereira B de B, Pereira CA de B. Model choice in separate families: a comparison between the FBST and the Cox test [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 48( 9): 2641–2654.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1080/03610918.2018.1458139
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ESALQ

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

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      PRATAVIERA, Fábio et al. The heteroscedastic odd log-logistic generalized gamma regression model for censored data. Communications in Statistics - Simulation and Computation, p. 1-25, 2018Tradução . . Disponível em: https://doi.org/10.1080/03610918.2018.1423695. Acesso em: 28 nov. 2025.
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      Prataviera, F., Ortega, E. M. M., Cordeiro, G. M., & Braga, A. da S. (2018). The heteroscedastic odd log-logistic generalized gamma regression model for censored data. Communications in Statistics - Simulation and Computation, 1-25. doi:10.1080/03610918.2018.1423695
    • NLM

      Prataviera F, Ortega EMM, Cordeiro GM, Braga A da S. The heteroscedastic odd log-logistic generalized gamma regression model for censored data [Internet]. Communications in Statistics - Simulation and Computation. 2018 ; 1-25.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1080/03610918.2018.1423695
    • Vancouver

      Prataviera F, Ortega EMM, Cordeiro GM, Braga A da S. The heteroscedastic odd log-logistic generalized gamma regression model for censored data [Internet]. Communications in Statistics - Simulation and Computation. 2018 ; 1-25.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1080/03610918.2018.1423695
  • Source: Communications in Statistics - Simulation and Computation. Unidades: ESALQ, IME

    Subjects: REGRESSÃO LINEAR, ANÁLISE DE SOBREVIVÊNCIA, DADOS CENSURADOS, MÉTODO DE CAUCHY, MÉTODOS DE DIAGNÓSTICOS

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      RAMIRES, Thiago Gentil et al. New regression model with four regression structures and computational aspects. Communications in Statistics - Simulation and Computation, v. 47, n. 7, p. 1940-1962, 2018Tradução . . Disponível em: https://doi.org/10.1080/03610918.2017.1332212. Acesso em: 28 nov. 2025.
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      Ramires, T. G., Ortega, E. M. M., Cordeiro, G. M., Paula, G. A., & Hens, N. (2018). New regression model with four regression structures and computational aspects. Communications in Statistics - Simulation and Computation, 47( 7), 1940-1962. doi:10.1080/03610918.2017.1332212
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      Ramires TG, Ortega EMM, Cordeiro GM, Paula GA, Hens N. New regression model with four regression structures and computational aspects [Internet]. Communications in Statistics - Simulation and Computation. 2018 ; 47( 7): 1940-1962.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1080/03610918.2017.1332212
    • Vancouver

      Ramires TG, Ortega EMM, Cordeiro GM, Paula GA, Hens N. New regression model with four regression structures and computational aspects [Internet]. Communications in Statistics - Simulation and Computation. 2018 ; 47( 7): 1940-1962.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1080/03610918.2017.1332212
  • Source: Communications in Statistics - Simulation and Computation. Unidade: IME

    Subjects: INFERÊNCIA ESTATÍSTICA, REGRESSÃO LINEAR

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      CORDEIRO, Gauss Moutinho et al. The Kumaraswamy normal linear regression model with applications. Communications in Statistics - Simulation and Computation, v. 47, p. 3062-3082, 2018Tradução . . Disponível em: https://doi.org/10.1080/03610918.2017.1367808. Acesso em: 28 nov. 2025.
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      Cordeiro, G. M., Machado, E. C., Botter, D. A., & Sandoval, M. C. (2018). The Kumaraswamy normal linear regression model with applications. Communications in Statistics - Simulation and Computation, 47, 3062-3082. doi:10.1080/03610918.2017.1367808
    • NLM

      Cordeiro GM, Machado EC, Botter DA, Sandoval MC. The Kumaraswamy normal linear regression model with applications [Internet]. Communications in Statistics - Simulation and Computation. 2018 ; 47 3062-3082.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1080/03610918.2017.1367808
    • Vancouver

      Cordeiro GM, Machado EC, Botter DA, Sandoval MC. The Kumaraswamy normal linear regression model with applications [Internet]. Communications in Statistics - Simulation and Computation. 2018 ; 47 3062-3082.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1080/03610918.2017.1367808
  • Source: Communications in Statistics - Simulation and Computation. Unidade: IME

    Subjects: ROBUSTEZ, MÉTODO DE MONTE CARLO, VALORES ATÍPICOS, ANÁLISE MULTIVARIADA

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      CIRILLO, Marcelo Ângelo e BARROSO, Lucia Pereira. Effect of outliers on the GFI quality adjustment index in structural equation model and proposal of alternative indices. Communications in Statistics - Simulation and Computation, v. 46, n. 3, p. 1895-1905, 2017Tradução . . Disponível em: https://doi.org/10.1080/03610918.2015.1018998. Acesso em: 28 nov. 2025.
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      Cirillo, M. Â., & Barroso, L. P. (2017). Effect of outliers on the GFI quality adjustment index in structural equation model and proposal of alternative indices. Communications in Statistics - Simulation and Computation, 46( 3), 1895-1905. doi:10.1080/03610918.2015.1018998
    • NLM

      Cirillo MÂ, Barroso LP. Effect of outliers on the GFI quality adjustment index in structural equation model and proposal of alternative indices [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 3): 1895-1905.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1080/03610918.2015.1018998
    • Vancouver

      Cirillo MÂ, Barroso LP. Effect of outliers on the GFI quality adjustment index in structural equation model and proposal of alternative indices [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 3): 1895-1905.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1080/03610918.2015.1018998
  • Source: Communications in Statistics - Simulation and Computation. Unidade: IME

    Assunto: INFERÊNCIA ESTATÍSTICA

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      GALLARDO MATELUNA, Diego Ignacio e BOLFARINE, Heleno e LIMA, Antonio Carlos Pedroso de. Promotion time cure rate model with bivariate random effects. Communications in Statistics - Simulation and Computation, v. 45, n. 2, p. 603-624, 2016Tradução . . Disponível em: https://doi.org/10.1080/03610918.2013.867994. Acesso em: 28 nov. 2025.
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      Gallardo Mateluna, D. I., Bolfarine, H., & Lima, A. C. P. de. (2016). Promotion time cure rate model with bivariate random effects. Communications in Statistics - Simulation and Computation, 45( 2), 603-624. doi:10.1080/03610918.2013.867994
    • NLM

      Gallardo Mateluna DI, Bolfarine H, Lima ACP de. Promotion time cure rate model with bivariate random effects [Internet]. Communications in Statistics - Simulation and Computation. 2016 ; 45( 2): 603-624.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1080/03610918.2013.867994
    • Vancouver

      Gallardo Mateluna DI, Bolfarine H, Lima ACP de. Promotion time cure rate model with bivariate random effects [Internet]. Communications in Statistics - Simulation and Computation. 2016 ; 45( 2): 603-624.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1080/03610918.2013.867994
  • Source: Communications in Statistics - Simulation and Computation. Unidades: EACH, IME

    Subjects: ESTIMAÇÃO NÃO PARAMÉTRICA, ESTATÍSTICA DE PROCESSOS ESTOCÁSTICOS, PROCESSOS ESTACIONÁRIOS, ANÁLISE MULTIVARIADA

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      LATIF, Sumaia Abdel e MORETTIN, Pedro Alberto. Curve of correlation for time series. Communications in Statistics - Simulation and Computation, v. 45, n. 8, p. 2792-2809, 2016Tradução . . Disponível em: https://doi.org/10.1080/03610918.2014.926172. Acesso em: 28 nov. 2025.
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      Latif, S. A., & Morettin, P. A. (2016). Curve of correlation for time series. Communications in Statistics - Simulation and Computation, 45( 8), 2792-2809. doi:10.1080/03610918.2014.926172
    • NLM

      Latif SA, Morettin PA. Curve of correlation for time series [Internet]. Communications in Statistics - Simulation and Computation. 2016 ; 45( 8): 2792-2809.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1080/03610918.2014.926172
    • Vancouver

      Latif SA, Morettin PA. Curve of correlation for time series [Internet]. Communications in Statistics - Simulation and Computation. 2016 ; 45( 8): 2792-2809.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1080/03610918.2014.926172
  • Source: Communications in Statistics - Simulation and Computation. Unidade: IME

    Assunto: ANÁLISE DE SÉRIES TEMPORAIS

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      SATO, João Ricardo et al. Measuring time series predictability using support vector regression. Communications in Statistics - Simulation and Computation, 2008Tradução . . Acesso em: 28 nov. 2025.
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      Sato, J. R., Costafreda, S., Morettin, P. A., & Brammer, M. J. (2008). Measuring time series predictability using support vector regression. Communications in Statistics - Simulation and Computation.
    • NLM

      Sato JR, Costafreda S, Morettin PA, Brammer MJ. Measuring time series predictability using support vector regression. Communications in Statistics - Simulation and Computation. 2008 ;[citado 2025 nov. 28 ]
    • Vancouver

      Sato JR, Costafreda S, Morettin PA, Brammer MJ. Measuring time series predictability using support vector regression. Communications in Statistics - Simulation and Computation. 2008 ;[citado 2025 nov. 28 ]
  • Source: Communications in Statistics - Simulation and Computation. Unidade: IME

    Assunto: INFERÊNCIA ESTATÍSTICA

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      MIZOI, Márcia Fumi e BOLFARINE, Heleno e LIMA, Antonio Carlos Pedroso de. Cure rate model with measurement error. Communications in Statistics - Simulation and Computation, v. 36, n. 1, p. 185-196, 2007Tradução . . Disponível em: https://doi.org/10.1080/03610910601095991. Acesso em: 28 nov. 2025.
    • APA

      Mizoi, M. F., Bolfarine, H., & Lima, A. C. P. de. (2007). Cure rate model with measurement error. Communications in Statistics - Simulation and Computation, 36( 1), 185-196. doi:10.1080/03610910601095991
    • NLM

      Mizoi MF, Bolfarine H, Lima ACP de. Cure rate model with measurement error [Internet]. Communications in Statistics - Simulation and Computation. 2007 ; 36( 1): 185-196.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1080/03610910601095991
    • Vancouver

      Mizoi MF, Bolfarine H, Lima ACP de. Cure rate model with measurement error [Internet]. Communications in Statistics - Simulation and Computation. 2007 ; 36( 1): 185-196.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1080/03610910601095991
  • Source: Communications in Statistics - Simulation and Computation. Unidade: IME

    Assunto: TESTES DE HIPÓTESES

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      CYSNEIROS, Francisco José de Azevêdo e PAULA, Gilberto Alvarenga. One-sided tests in linear models with multivariate t-distribution. Communications in Statistics - Simulation and Computation, v. 33, n. 3, p. 747-771, 2004Tradução . . Disponível em: https://doi.org/10.1081/SAC-200033290. Acesso em: 28 nov. 2025.
    • APA

      Cysneiros, F. J. de A., & Paula, G. A. (2004). One-sided tests in linear models with multivariate t-distribution. Communications in Statistics - Simulation and Computation, 33( 3), 747-771. doi:10.1081/SAC-200033290
    • NLM

      Cysneiros FJ de A, Paula GA. One-sided tests in linear models with multivariate t-distribution [Internet]. Communications in Statistics - Simulation and Computation. 2004 ; 33( 3): 747-771.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1081/SAC-200033290
    • Vancouver

      Cysneiros FJ de A, Paula GA. One-sided tests in linear models with multivariate t-distribution [Internet]. Communications in Statistics - Simulation and Computation. 2004 ; 33( 3): 747-771.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1081/SAC-200033290
  • Source: Communications in Statistics - Simulation and Computation. Unidade: IME

    Subjects: TEORIA DA PREVISÃO EM POPULAÇÕES FINITAS, MODELOS LINEARES GENERALIZADOS

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      BOLFARINE, Heleno. Finite population prediction under dynamic generalized linear models. Communications in Statistics - Simulation and Computation, v. 17, n. 1 , p. 187-207, 1988Tradução . . Disponível em: https://doi.org/10.1080/03610918808812656. Acesso em: 28 nov. 2025.
    • APA

      Bolfarine, H. (1988). Finite population prediction under dynamic generalized linear models. Communications in Statistics - Simulation and Computation, 17( 1 ), 187-207. doi:10.1080/03610918808812656
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      Bolfarine H. Finite population prediction under dynamic generalized linear models [Internet]. Communications in Statistics - Simulation and Computation. 1988 ; 17( 1 ): 187-207.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1080/03610918808812656
    • Vancouver

      Bolfarine H. Finite population prediction under dynamic generalized linear models [Internet]. Communications in Statistics - Simulation and Computation. 1988 ; 17( 1 ): 187-207.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1080/03610918808812656

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