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  • Source: Journal of Statistical Computation and Simulation. Unidades: IME, EP

    Subjects: DADOS DE CONTAGEM, CONTROLE DE PROCESSOS, ANÁLISE DE SÉRIES TEMPORAIS

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      SALES, Lucas de Oliveira Ferreira de e ALENCAR, Airlane Pereira e HO, Linda Lee. A modified Shewhart control chart for monitoring the BerG-GARMA model. Journal of Statistical Computation and Simulation, v. 95, n. 9, p. 1993-2009, 2025Tradução . . Disponível em: https://doi.org/10.1080/00949655.2025.2477731. Acesso em: 04 jul. 2025.
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      Sales, L. de O. F. de, Alencar, A. P., & Ho, L. L. (2025). A modified Shewhart control chart for monitoring the BerG-GARMA model. Journal of Statistical Computation and Simulation, 95( 9), 1993-2009. doi:10.1080/00949655.2025.2477731
    • NLM

      Sales L de OF de, Alencar AP, Ho LL. A modified Shewhart control chart for monitoring the BerG-GARMA model [Internet]. Journal of Statistical Computation and Simulation. 2025 ; 95( 9): 1993-2009.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2025.2477731
    • Vancouver

      Sales L de OF de, Alencar AP, Ho LL. A modified Shewhart control chart for monitoring the BerG-GARMA model [Internet]. Journal of Statistical Computation and Simulation. 2025 ; 95( 9): 1993-2009.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2025.2477731
  • Source: Journal of Statistical Computation and Simulation. Unidade: IME

    Assunto: INFERÊNCIA PARAMÉTRICA

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      MELO, Tatiane F. N. et al. Higher-order asymptotic refinements in a multivariate regression model with general parameterization. Journal of Statistical Computation and Simulation, v. 94, n. 13, p. 2952–2975, 2024Tradução . . Disponível em: https://doi.org/10.1080/00949655.2024.2361824. Acesso em: 04 jul. 2025.
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      Melo, T. F. N., Vargas, T. M., Lemonte, A. J., & Patriota, A. G. (2024). Higher-order asymptotic refinements in a multivariate regression model with general parameterization. Journal of Statistical Computation and Simulation, 94( 13), 2952–2975. doi:10.1080/00949655.2024.2361824
    • NLM

      Melo TFN, Vargas TM, Lemonte AJ, Patriota AG. Higher-order asymptotic refinements in a multivariate regression model with general parameterization [Internet]. Journal of Statistical Computation and Simulation. 2024 ; 94( 13): 2952–2975.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2024.2361824
    • Vancouver

      Melo TFN, Vargas TM, Lemonte AJ, Patriota AG. Higher-order asymptotic refinements in a multivariate regression model with general parameterization [Internet]. Journal of Statistical Computation and Simulation. 2024 ; 94( 13): 2952–2975.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2024.2361824
  • Source: Journal of Statistical Computation and Simulation. Unidade: IME

    Assunto: ESTATÍSTICA

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      BARROS, Fabiana U. et al. Improved gradient statistic in heteroskedastic generalized linear models. Journal of Statistical Computation and Simulation, v. 93, n. 12, p. 2052-2066, 2023Tradução . . Disponível em: https://doi.org/10.1080/00949655.2023.2172170. Acesso em: 04 jul. 2025.
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      Barros, F. U., Botter, D. A., Sandoval, M. C., & Magalhães, T. M. (2023). Improved gradient statistic in heteroskedastic generalized linear models. Journal of Statistical Computation and Simulation, 93( 12), 2052-2066. doi:10.1080/00949655.2023.2172170
    • NLM

      Barros FU, Botter DA, Sandoval MC, Magalhães TM. Improved gradient statistic in heteroskedastic generalized linear models [Internet]. Journal of Statistical Computation and Simulation. 2023 ; 93( 12): 2052-2066.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2023.2172170
    • Vancouver

      Barros FU, Botter DA, Sandoval MC, Magalhães TM. Improved gradient statistic in heteroskedastic generalized linear models [Internet]. Journal of Statistical Computation and Simulation. 2023 ; 93( 12): 2052-2066.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2023.2172170
  • Source: Journal of Statistical Computation and Simulation. Unidade: IME

    Subjects: ANÁLISE DE SÉRIES TEMPORAIS, DISTRIBUIÇÕES (PROBABILIDADE)

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      MELO, Moizes da Silva e ALENCAR, Airlane Pereira. Conway-Maxwell-Poisson seasonal autoregressive moving average model. Journal of Statistical Computation and Simulation, v. 92, n. 2, p. 283-299, 2022Tradução . . Disponível em: https://doi.org/10.1080/00949655.2021.1955887. Acesso em: 04 jul. 2025.
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      Melo, M. da S., & Alencar, A. P. (2022). Conway-Maxwell-Poisson seasonal autoregressive moving average model. Journal of Statistical Computation and Simulation, 92( 2), 283-299. doi:10.1080/00949655.2021.1955887
    • NLM

      Melo M da S, Alencar AP. Conway-Maxwell-Poisson seasonal autoregressive moving average model [Internet]. Journal of Statistical Computation and Simulation. 2022 ; 92( 2): 283-299.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2021.1955887
    • Vancouver

      Melo M da S, Alencar AP. Conway-Maxwell-Poisson seasonal autoregressive moving average model [Internet]. Journal of Statistical Computation and Simulation. 2022 ; 92( 2): 283-299.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2021.1955887
  • Source: Journal of Statistical Computation and Simulation. Unidade: IME

    Assunto: DISTRIBUIÇÕES (PROBABILIDADE)

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      AL-SHARADQAH, Ali A. e PATRIOTA, Alexandre Galvão. On estimating the boundaries of a uniform distribution under additive measurement errors. Journal of Statistical Computation and Simulation, v. 92, n. 10, p. 2112-2140, 2022Tradução . . Disponível em: https://doi.org/10.1080/00949655.2021.2022149. Acesso em: 04 jul. 2025.
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      Al-Sharadqah, A. A., & Patriota, A. G. (2022). On estimating the boundaries of a uniform distribution under additive measurement errors. Journal of Statistical Computation and Simulation, 92( 10), 2112-2140. doi:10.1080/00949655.2021.2022149
    • NLM

      Al-Sharadqah AA, Patriota AG. On estimating the boundaries of a uniform distribution under additive measurement errors [Internet]. Journal of Statistical Computation and Simulation. 2022 ; 92( 10): 2112-2140.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2021.2022149
    • Vancouver

      Al-Sharadqah AA, Patriota AG. On estimating the boundaries of a uniform distribution under additive measurement errors [Internet]. Journal of Statistical Computation and Simulation. 2022 ; 92( 10): 2112-2140.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2021.2022149
  • Source: Journal of Statistical Computation and Simulation. Unidade: ESALQ

    Subjects: MODELOS MATEMÁTICOS, VEROSSIMILHANÇA, DADOS DE CONTAGEM

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      TACONELI, Cesar Augusto e LARA, Idemauro Antonio Rodrigues de. Discrete Weibull distribution: different estimation methods under ranked set sampling and simple random sampling. Journal of Statistical Computation and Simulation, 2021Tradução . . Disponível em: https://doi.org/10.1080/00949655.2021.2005597. Acesso em: 04 jul. 2025.
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      Taconeli, C. A., & Lara, I. A. R. de. (2021). Discrete Weibull distribution: different estimation methods under ranked set sampling and simple random sampling. Journal of Statistical Computation and Simulation. doi:10.1080/00949655.2021.2005597
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      Taconeli CA, Lara IAR de. Discrete Weibull distribution: different estimation methods under ranked set sampling and simple random sampling [Internet]. Journal of Statistical Computation and Simulation. 2021 ;[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2021.2005597
    • Vancouver

      Taconeli CA, Lara IAR de. Discrete Weibull distribution: different estimation methods under ranked set sampling and simple random sampling [Internet]. Journal of Statistical Computation and Simulation. 2021 ;[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2021.2005597
  • Source: Journal of Statistical Computation and Simulation. Unidade: EP

    Subjects: GRÁFICOS, ESTATÍSTICA

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      QUININO, Roberto da Costa et al. A control chart to monitor the process mean based on inspecting attributes using control limits of the traditional X-bar chart. Journal of Statistical Computation and Simulation, v. 90, n. 9, p. 1639-1660, 2020Tradução . . Disponível em: https://doi.org/10.1080/00949655.2020.1741588. Acesso em: 04 jul. 2025.
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      Quinino, R. da C., Ho, L. L., Cruz, F. R. B. da, & Bessegato, L. F. (2020). A control chart to monitor the process mean based on inspecting attributes using control limits of the traditional X-bar chart. Journal of Statistical Computation and Simulation, 90( 9), 1639-1660. doi:10.1080/00949655.2020.1741588
    • NLM

      Quinino R da C, Ho LL, Cruz FRB da, Bessegato LF. A control chart to monitor the process mean based on inspecting attributes using control limits of the traditional X-bar chart [Internet]. Journal of Statistical Computation and Simulation. 2020 ; 90( 9): 1639-1660.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2020.1741588
    • Vancouver

      Quinino R da C, Ho LL, Cruz FRB da, Bessegato LF. A control chart to monitor the process mean based on inspecting attributes using control limits of the traditional X-bar chart [Internet]. Journal of Statistical Computation and Simulation. 2020 ; 90( 9): 1639-1660.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2020.1741588
  • Source: Journal of Statistical Computation and Simulation. Unidade: IME

    Subjects: ANÁLISE DE SÉRIES TEMPORAIS, INFERÊNCIA PARAMÉTRICA

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      CHOU-CHEN, Shu Wei e MORETTIN, Pedro Alberto. Indirect inference for locally stationary ARMA processes with stable innovations. Journal of Statistical Computation and Simulation, v. 90, n. 17, p. 3106-3134, 2020Tradução . . Disponível em: https://doi.org/10.1080/00949655.2020.1797030. Acesso em: 04 jul. 2025.
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      Chou-Chen, S. W., & Morettin, P. A. (2020). Indirect inference for locally stationary ARMA processes with stable innovations. Journal of Statistical Computation and Simulation, 90( 17), 3106-3134. doi:10.1080/00949655.2020.1797030
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      Chou-Chen SW, Morettin PA. Indirect inference for locally stationary ARMA processes with stable innovations [Internet]. Journal of Statistical Computation and Simulation. 2020 ; 90( 17): 3106-3134.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2020.1797030
    • Vancouver

      Chou-Chen SW, Morettin PA. Indirect inference for locally stationary ARMA processes with stable innovations [Internet]. Journal of Statistical Computation and Simulation. 2020 ; 90( 17): 3106-3134.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2020.1797030
  • Source: Journal of Statistical Computation and Simulation. Unidade: ICMC

    Subjects: ANÁLISE DE DADOS, REGRESSÃO LOGÍSTICA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), MODELOS LINEARES GENERALIZADOS

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      HUAYANAY, Alex de la Cruz et al. Performance of asymmetric links and correction methods for imbalanced data in binary regression. Journal of Statistical Computation and Simulation, v. 89, n. 9, p. 1694-1714, 2019Tradução . . Disponível em: https://doi.org/10.1080/00949655.2019.1593984. Acesso em: 04 jul. 2025.
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      Huayanay, A. de la C., Bazán Guzmán, J. L., Cancho, V. G., & Dey, D. K. (2019). Performance of asymmetric links and correction methods for imbalanced data in binary regression. Journal of Statistical Computation and Simulation, 89( 9), 1694-1714. doi:10.1080/00949655.2019.1593984
    • NLM

      Huayanay A de la C, Bazán Guzmán JL, Cancho VG, Dey DK. Performance of asymmetric links and correction methods for imbalanced data in binary regression [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 9): 1694-1714.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2019.1593984
    • Vancouver

      Huayanay A de la C, Bazán Guzmán JL, Cancho VG, Dey DK. Performance of asymmetric links and correction methods for imbalanced data in binary regression [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 9): 1694-1714.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2019.1593984
  • Source: Journal of Statistical Computation and Simulation. Unidade: ESALQ

    Subjects: REGRESSÃO LINEAR, ÓLEOS VEGETAIS, COPAÍBA, RESINAS VEGETAIS

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      HASHIMOTO, Elizabeth M et al. Zero-spiked regression models generated by gamma random variables with application in the resin oil production. Journal of Statistical Computation and Simulation, v. 89, n. 1, p. 52-70, 2019Tradução . . Disponível em: https://doi.org/10.1080/00949655.2018.1534116. Acesso em: 04 jul. 2025.
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      Hashimoto, E. M., Ortega, E. M. M., Cordeiro, G. M., Cancho, V. G., & Klauberg, C. (2019). Zero-spiked regression models generated by gamma random variables with application in the resin oil production. Journal of Statistical Computation and Simulation, 89( 1), 52-70. doi:10.1080/00949655.2018.1534116
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      Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Klauberg C. Zero-spiked regression models generated by gamma random variables with application in the resin oil production [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 1): 52-70.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2018.1534116
    • Vancouver

      Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Klauberg C. Zero-spiked regression models generated by gamma random variables with application in the resin oil production [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 1): 52-70.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2018.1534116
  • Source: Journal of Statistical Computation and Simulation. Unidade: ICMC

    Subjects: INFERÊNCIA PARAMÉTRICA, INFERÊNCIA BAYESIANA, MÉTODO DE MONTE CARLO, VEROSSIMILHANÇA, TESTES DE HIPÓTESES

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      ZAVALETA, Katherine Elizabeth Coaguila e CANCHO, Vicente Garibay e LEMONTE, Artur José. Likelihood-based tests in zero-inflated power series models. Journal of Statistical Computation and Simulation, v. 89, n. 3, p. 443-460, 2019Tradução . . Disponível em: https://doi.org/10.1080/00949655.2018.1554660. Acesso em: 04 jul. 2025.
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      Zavaleta, K. E. C., Cancho, V. G., & Lemonte, A. J. (2019). Likelihood-based tests in zero-inflated power series models. Journal of Statistical Computation and Simulation, 89( 3), 443-460. doi:10.1080/00949655.2018.1554660
    • NLM

      Zavaleta KEC, Cancho VG, Lemonte AJ. Likelihood-based tests in zero-inflated power series models [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 3): 443-460.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2018.1554660
    • Vancouver

      Zavaleta KEC, Cancho VG, Lemonte AJ. Likelihood-based tests in zero-inflated power series models [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 3): 443-460.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2018.1554660
  • Source: Journal of Statistical Computation and Simulation. Unidades: IME, EP

    Subjects: ANALISE DE SÉRIES TEMPORAIS, ANALISE DE REGRESSÃO E DE CORRELAÇÃO

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      ESPARZA ALBARRACIN, Orlando Yesid e ALENCAR, Airlane Pereira e HO, Linda Lee. Generalized autoregressive and moving average models: multicollinearity, interpretation and a new modified model. Journal of Statistical Computation and Simulation, v. 89, n. 10, p. 1819-1840, 2019Tradução . . Disponível em: https://doi.org/10.1080/00949655.2019.1599892. Acesso em: 04 jul. 2025.
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      Esparza Albarracin, O. Y., Alencar, A. P., & Ho, L. L. (2019). Generalized autoregressive and moving average models: multicollinearity, interpretation and a new modified model. Journal of Statistical Computation and Simulation, 89( 10), 1819-1840. doi:10.1080/00949655.2019.1599892
    • NLM

      Esparza Albarracin OY, Alencar AP, Ho LL. Generalized autoregressive and moving average models: multicollinearity, interpretation and a new modified model [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 10): 1819-1840.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2019.1599892
    • Vancouver

      Esparza Albarracin OY, Alencar AP, Ho LL. Generalized autoregressive and moving average models: multicollinearity, interpretation and a new modified model [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 10): 1819-1840.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2019.1599892
  • Source: Journal of Statistical Computation and Simulation. Unidade: ICMC

    Subjects: DADOS DE CONTAGEM, TESTES DE HIPÓTESES, DISTRIBUIÇÃO DE POISSON, VEROSSIMILHANÇA, MÉTODO DE MONTE CARLO

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      SANTOS, Daiane de Souza e CANCHO, Vicente Garibay e RODRIGUES, Josemar. Hypothesis testing for the dispersion parameter of the hyper-Poisson regression model. Journal of Statistical Computation and Simulation, v. 89, n. 5, p. 763-775, 2019Tradução . . Disponível em: https://doi.org/10.1080/00949655.2019.1572144. Acesso em: 04 jul. 2025.
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      Santos, D. de S., Cancho, V. G., & Rodrigues, J. (2019). Hypothesis testing for the dispersion parameter of the hyper-Poisson regression model. Journal of Statistical Computation and Simulation, 89( 5), 763-775. doi:10.1080/00949655.2019.1572144
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      Santos D de S, Cancho VG, Rodrigues J. Hypothesis testing for the dispersion parameter of the hyper-Poisson regression model [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 5): 763-775.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2019.1572144
    • Vancouver

      Santos D de S, Cancho VG, Rodrigues J. Hypothesis testing for the dispersion parameter of the hyper-Poisson regression model [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 5): 763-775.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2019.1572144
  • Source: Journal of Statistical Computation and Simulation. Unidade: ICMC

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA

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      LOUZADA, Francisco e RAMOS, Pedro Luiz. Efficient closed-form maximum a posteriori estimators for the gamma distribution. Journal of Statistical Computation and Simulation, v. 88, n. Ja 2018, p. 1134-1146, 2018Tradução . . Disponível em: https://doi.org/10.1080/00949655.2017.1422503. Acesso em: 04 jul. 2025.
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      Louzada, F., & Ramos, P. L. (2018). Efficient closed-form maximum a posteriori estimators for the gamma distribution. Journal of Statistical Computation and Simulation, 88( Ja 2018), 1134-1146. doi:10.1080/00949655.2017.1422503
    • NLM

      Louzada F, Ramos PL. Efficient closed-form maximum a posteriori estimators for the gamma distribution [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( Ja 2018): 1134-1146.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2017.1422503
    • Vancouver

      Louzada F, Ramos PL. Efficient closed-form maximum a posteriori estimators for the gamma distribution [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( Ja 2018): 1134-1146.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2017.1422503
  • Source: Journal of Statistical Computation and Simulation. Unidade: EP

    Assunto: GRÁFICOS

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      GARZA VENEGAS, Jorge Arturo et al. Effect of autocorrelation estimators on the performance of the X¯ control chart. Journal of Statistical Computation and Simulation, v. 88, n. 13, p. 2612-2630, 2018Tradução . . Disponível em: https://doi.org/10.1080/00949655.2018.1479752. Acesso em: 04 jul. 2025.
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      Garza Venegas, J. A., Tercero Gómez, V. G., Ho, L. L., Castagliola, P., & Celano, G. (2018). Effect of autocorrelation estimators on the performance of the X¯ control chart. Journal of Statistical Computation and Simulation, 88( 13), 2612-2630. doi:10.1080/00949655.2018.1479752
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      Garza Venegas JA, Tercero Gómez VG, Ho LL, Castagliola P, Celano G. Effect of autocorrelation estimators on the performance of the X¯ control chart [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( 13): 2612-2630.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2018.1479752
    • Vancouver

      Garza Venegas JA, Tercero Gómez VG, Ho LL, Castagliola P, Celano G. Effect of autocorrelation estimators on the performance of the X¯ control chart [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( 13): 2612-2630.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2018.1479752
  • Source: Journal of Statistical Computation and Simulation. Unidade: ICMC

    Assunto: ANÁLISE DE SOBREVIVÊNCIA

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      GALLARDO, Diego I. e GÓMEZ, Yolanda M. e CASTRO, Mário de. A flexible cure rate model based on the polylogarithm distribution. Journal of Statistical Computation and Simulation, v. 88, n. 11, p. 2137-2149, 2018Tradução . . Disponível em: https://doi.org/10.1080/00949655.2018.1451850. Acesso em: 04 jul. 2025.
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      Gallardo, D. I., Gómez, Y. M., & Castro, M. de. (2018). A flexible cure rate model based on the polylogarithm distribution. Journal of Statistical Computation and Simulation, 88( 11), 2137-2149. doi:10.1080/00949655.2018.1451850
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      Gallardo DI, Gómez YM, Castro M de. A flexible cure rate model based on the polylogarithm distribution [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( 11): 2137-2149.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2018.1451850
    • Vancouver

      Gallardo DI, Gómez YM, Castro M de. A flexible cure rate model based on the polylogarithm distribution [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( 11): 2137-2149.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2018.1451850
  • Source: Journal of Statistical Computation and Simulation. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA

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      TOMAYA, Lorena Cáceres e CASTRO, Mário de. A heteroscedastic measurement error model based on skew and heavy-tailed distributions with known error variances. Journal of Statistical Computation and Simulation, v. 88, n. 11, p. 2185-2200, 2018Tradução . . Disponível em: https://doi.org/10.1080/00949655.2018.1452925. Acesso em: 04 jul. 2025.
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      Tomaya, L. C., & Castro, M. de. (2018). A heteroscedastic measurement error model based on skew and heavy-tailed distributions with known error variances. Journal of Statistical Computation and Simulation, 88( 11), 2185-2200. doi:10.1080/00949655.2018.1452925
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      Tomaya LC, Castro M de. A heteroscedastic measurement error model based on skew and heavy-tailed distributions with known error variances [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( 11): 2185-2200.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2018.1452925
    • Vancouver

      Tomaya LC, Castro M de. A heteroscedastic measurement error model based on skew and heavy-tailed distributions with known error variances [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( 11): 2185-2200.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2018.1452925
  • Source: Journal of Statistical Computation and Simulation. Unidade: ESALQ

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA, REGRESSÃO LINEAR

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      CORDEIRO, Gauss M et al. The Burr XII System of densities: properties, regression model and applications. Journal of Statistical Computation and Simulation, v. 88, n. 3, p. 432-456, 2018Tradução . . Disponível em: https://doi.org/10.1080/00949655.2017.1392524. Acesso em: 04 jul. 2025.
    • APA

      Cordeiro, G. M., Yousof, H. M., Ramires, T. G., & Ortega, E. M. M. (2018). The Burr XII System of densities: properties, regression model and applications. Journal of Statistical Computation and Simulation, 88( 3), 432-456. doi:10.1080/00949655.2017.1392524
    • NLM

      Cordeiro GM, Yousof HM, Ramires TG, Ortega EMM. The Burr XII System of densities: properties, regression model and applications [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( 3): 432-456.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2017.1392524
    • Vancouver

      Cordeiro GM, Yousof HM, Ramires TG, Ortega EMM. The Burr XII System of densities: properties, regression model and applications [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( 3): 432-456.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2017.1392524
  • Source: Journal of Statistical Computation and Simulation. Unidade: IME

    Subjects: ESTATÍSTICA, INFERÊNCIA PARAMÉTRICA

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      VENEGAS, Osvaldo et al. Bimodality based on the generalized skew-normal distribution. Journal of Statistical Computation and Simulation, v. 88, n. 1, p. 156-181, 2018Tradução . . Disponível em: https://doi.org/10.1080/00949655.2017.1381698. Acesso em: 04 jul. 2025.
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      Venegas, O., Salinas, H. S., Gallardo, D. I., Bolfarine, H., & Gómez, H. W. (2018). Bimodality based on the generalized skew-normal distribution. Journal of Statistical Computation and Simulation, 88( 1), 156-181. doi:10.1080/00949655.2017.1381698
    • NLM

      Venegas O, Salinas HS, Gallardo DI, Bolfarine H, Gómez HW. Bimodality based on the generalized skew-normal distribution [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( 1): 156-181.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2017.1381698
    • Vancouver

      Venegas O, Salinas HS, Gallardo DI, Bolfarine H, Gómez HW. Bimodality based on the generalized skew-normal distribution [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( 1): 156-181.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2017.1381698
  • Source: Journal of Statistical Computation and Simulation. Unidade: ICMC

    Subjects: ESTATÍSTICA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA, INFERÊNCIA BAYESIANA, PROBABILIDADE, OTIMIZAÇÃO, OTIMIZAÇÃO COMBINATÓRIA

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      CONCEIÇÃO, Katiane Silva et al. Zero-modified power series distribution and its Hurdle distribution version. Journal of Statistical Computation and Simulation, v. Fe 2017, n. 9, p. 1842-1862, 2017Tradução . . Disponível em: https://doi.org/10.1080/00949655.2017.1289529. Acesso em: 04 jul. 2025.
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      Conceição, K. S., Louzada, F., Andrade, M. G. de, & Helou, E. S. (2017). Zero-modified power series distribution and its Hurdle distribution version. Journal of Statistical Computation and Simulation, Fe 2017( 9), 1842-1862. doi:10.1080/00949655.2017.1289529
    • NLM

      Conceição KS, Louzada F, Andrade MG de, Helou ES. Zero-modified power series distribution and its Hurdle distribution version [Internet]. Journal of Statistical Computation and Simulation. 2017 ; Fe 2017( 9): 1842-1862.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2017.1289529
    • Vancouver

      Conceição KS, Louzada F, Andrade MG de, Helou ES. Zero-modified power series distribution and its Hurdle distribution version [Internet]. Journal of Statistical Computation and Simulation. 2017 ; Fe 2017( 9): 1842-1862.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1080/00949655.2017.1289529

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