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  • Source: Journal of Statistical Computation and Simulation. Unidade: IME

    Subjects: ANÁLISE DE SÉRIES TEMPORAIS, SÉRIES ESPAÇO-TEMPORAIS, PROCESSOS ESTACIONÁRIOS, FILTROS DE KALMAN, ANÁLISE DE ONDALETAS

    Disponível em 2026-08-19Acesso à fonteDOIHow to cite
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      CHEN, Yangyang e MORETTIN, Pedro Alberto e CHIANN, Chang. Time-varying spatio-temporal models by wavelets. Journal of Statistical Computation and Simulation, 2025Tradução . . Disponível em: https://doi.org/10.1080/00949655.2025.2535477. Acesso em: 19 nov. 2025.
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      Chen, Y., Morettin, P. A., & Chiann, C. (2025). Time-varying spatio-temporal models by wavelets. Journal of Statistical Computation and Simulation. doi:10.1080/00949655.2025.2535477
    • NLM

      Chen Y, Morettin PA, Chiann C. Time-varying spatio-temporal models by wavelets [Internet]. Journal of Statistical Computation and Simulation. 2025 ;[citado 2025 nov. 19 ] Available from: https://doi.org/10.1080/00949655.2025.2535477
    • Vancouver

      Chen Y, Morettin PA, Chiann C. Time-varying spatio-temporal models by wavelets [Internet]. Journal of Statistical Computation and Simulation. 2025 ;[citado 2025 nov. 19 ] Available from: https://doi.org/10.1080/00949655.2025.2535477
  • 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: 19 nov. 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
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      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 nov. 19 ] 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 nov. 19 ] 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: 19 nov. 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 nov. 19 ] 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 nov. 19 ] 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: 19 nov. 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 nov. 19 ] 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 nov. 19 ] 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: 19 nov. 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 nov. 19 ] 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 nov. 19 ] 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: 19 nov. 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 nov. 19 ] 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 nov. 19 ] 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: 19 nov. 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
    • NLM

      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 nov. 19 ] 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 nov. 19 ] 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: 19 nov. 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 nov. 19 ] 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 nov. 19 ] 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: 19 nov. 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
    • NLM

      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 nov. 19 ] 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 nov. 19 ] Available from: https://doi.org/10.1080/00949655.2020.1797030
  • 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: 19 nov. 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
    • NLM

      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 nov. 19 ] 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 nov. 19 ] Available from: https://doi.org/10.1080/00949655.2018.1534116
  • 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: 19 nov. 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 nov. 19 ] 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 nov. 19 ] Available from: https://doi.org/10.1080/00949655.2019.1599892
  • 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: 19 nov. 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
    • NLM

      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 nov. 19 ] 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 nov. 19 ] Available from: https://doi.org/10.1080/00949655.2018.1479752
  • 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: 19 nov. 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 nov. 19 ] 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 nov. 19 ] Available from: https://doi.org/10.1080/00949655.2017.1381698
  • 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: 19 nov. 2025.
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      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 nov. 19 ] 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 nov. 19 ] Available from: https://doi.org/10.1080/00949655.2017.1392524
  • Source: Journal of Statistical Computation and Simulation. Unidade: IME

    Assunto: ESTATÍSTICA

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      MELO, Tatiane F. N e FERRARI, Sílvia Lopes de Paula e PATRIOTA, Alexandre Galvão. Improved hypothesis testing in a general multivariate elliptical model. Journal of Statistical Computation and Simulation, v. 87, n. 7, p. 1416-1428, 2017Tradução . . Disponível em: https://doi.org/10.1080/00949655.2016.1269330. Acesso em: 19 nov. 2025.
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      Melo, T. F. N., Ferrari, S. L. de P., & Patriota, A. G. (2017). Improved hypothesis testing in a general multivariate elliptical model. Journal of Statistical Computation and Simulation, 87( 7), 1416-1428. doi:10.1080/00949655.2016.1269330
    • NLM

      Melo TFN, Ferrari SL de P, Patriota AG. Improved hypothesis testing in a general multivariate elliptical model [Internet]. Journal of Statistical Computation and Simulation. 2017 ; 87( 7): 1416-1428.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1080/00949655.2016.1269330
    • Vancouver

      Melo TFN, Ferrari SL de P, Patriota AG. Improved hypothesis testing in a general multivariate elliptical model [Internet]. Journal of Statistical Computation and Simulation. 2017 ; 87( 7): 1416-1428.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1080/00949655.2016.1269330
  • Source: Journal of Statistical Computation and Simulation. Unidade: ESALQ

    Subjects: AMOSTRAGEM, DISTRIBUIÇÃO NORMAL, ESTIMAÇÃO NÃO PARAMÉTRICA, ESTIMAÇÃO PARAMÉTRICA, MÉTODO DE MONTE CARLO, SIMULAÇÃO (ESTATÍSTICA)

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      CONSULIN, Cintia Maestreli et al. Performance of coefficient of variation estimators in ranked set sampling. Journal of Statistical Computation and Simulation, 2017Tradução . . Disponível em: https://doi.org/10.1080/00949655.2017.1381959. Acesso em: 19 nov. 2025.
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      Consulin, C. M., Ferreira, D., Lara, I. A. R. de, De Lorenzo, A., Di Renzo, L., & Taconeli, C. A. (2017). Performance of coefficient of variation estimators in ranked set sampling. Journal of Statistical Computation and Simulation. doi:10.1080/00949655.2017.1381959
    • NLM

      Consulin CM, Ferreira D, Lara IAR de, De Lorenzo A, Di Renzo L, Taconeli CA. Performance of coefficient of variation estimators in ranked set sampling [Internet]. Journal of Statistical Computation and Simulation. 2017 ;[citado 2025 nov. 19 ] Available from: https://doi.org/10.1080/00949655.2017.1381959
    • Vancouver

      Consulin CM, Ferreira D, Lara IAR de, De Lorenzo A, Di Renzo L, Taconeli CA. Performance of coefficient of variation estimators in ranked set sampling [Internet]. Journal of Statistical Computation and Simulation. 2017 ;[citado 2025 nov. 19 ] Available from: https://doi.org/10.1080/00949655.2017.1381959
  • Source: Journal of Statistical Computation and Simulation. Unidade: ESALQ

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, VEROSSIMILHANÇA

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      ALIZADEH, Morad et al. Odd-Burr generalized family of distributions with some applications. Journal of Statistical Computation and Simulation, v. 87, n. 2, p. 367-389, 2017Tradução . . Disponível em: https://doi.org/10.1080/00949655.2016.1209200. Acesso em: 19 nov. 2025.
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      Alizadeh, M., Cordeiro, G. M., Nascimento, A. D. C., Lima, M. do C. S., & Ortega, E. M. M. (2017). Odd-Burr generalized family of distributions with some applications. Journal of Statistical Computation and Simulation, 87( 2), 367-389. doi:10.1080/00949655.2016.1209200
    • NLM

      Alizadeh M, Cordeiro GM, Nascimento ADC, Lima M do CS, Ortega EMM. Odd-Burr generalized family of distributions with some applications [Internet]. Journal of Statistical Computation and Simulation. 2017 ; 87( 2): 367-389.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1080/00949655.2016.1209200
    • Vancouver

      Alizadeh M, Cordeiro GM, Nascimento ADC, Lima M do CS, Ortega EMM. Odd-Burr generalized family of distributions with some applications [Internet]. Journal of Statistical Computation and Simulation. 2017 ; 87( 2): 367-389.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1080/00949655.2016.1209200
  • Source: Journal of Statistical Computation and Simulation. Unidade: ESALQ

    Subjects: ANÁLISE DE DADOS LONGITUDINAIS, DADOS CATEGORIZADOS, MODELOS LINEARES GENERALIZADOS, PROBABILIDADE, PROCESSOS DE MARKOV, SIMULAÇÃO

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    • ABNT

      LARA, Idemauro Antonio Rodrigues de e HINDE, John e TACONELI, Cesar Augusto. An alternative method for evaluating stationarity in transition models. Journal of Statistical Computation and Simulation, 2017Tradução . . Disponível em: https://doi.org/10.1080/00949655.2017.1351562. Acesso em: 19 nov. 2025.
    • APA

      Lara, I. A. R. de, Hinde, J., & Taconeli, C. A. (2017). An alternative method for evaluating stationarity in transition models. Journal of Statistical Computation and Simulation. doi:10.1080/00949655.2017.1351562
    • NLM

      Lara IAR de, Hinde J, Taconeli CA. An alternative method for evaluating stationarity in transition models [Internet]. Journal of Statistical Computation and Simulation. 2017 ;[citado 2025 nov. 19 ] Available from: https://doi.org/10.1080/00949655.2017.1351562
    • Vancouver

      Lara IAR de, Hinde J, Taconeli CA. An alternative method for evaluating stationarity in transition models [Internet]. Journal of Statistical Computation and Simulation. 2017 ;[citado 2025 nov. 19 ] Available from: https://doi.org/10.1080/00949655.2017.1351562
  • Source: Journal of Statistical Computation and Simulation. Unidade: ESALQ

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS

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    • ABNT

      CORDEIRO, Gauss Moutinho et al. The generalized odd log-logistic family of distributions: properties, regression models and applications. Journal of Statistical Computation and Simulation, v. 87, n. 5, p. 908-932, 2017Tradução . . Disponível em: https://doi.org/10.1080/00949655.2016.1238088. Acesso em: 19 nov. 2025.
    • APA

      Cordeiro, G. M., Alizadeh, M., Ozel, G., Hosseini, B., Ortega, E. M. M., & Altun, E. (2017). The generalized odd log-logistic family of distributions: properties, regression models and applications. Journal of Statistical Computation and Simulation, 87( 5), 908-932. doi:10.1080/00949655.2016.1238088
    • NLM

      Cordeiro GM, Alizadeh M, Ozel G, Hosseini B, Ortega EMM, Altun E. The generalized odd log-logistic family of distributions: properties, regression models and applications [Internet]. Journal of Statistical Computation and Simulation. 2017 ; 87( 5): 908-932.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1080/00949655.2016.1238088
    • Vancouver

      Cordeiro GM, Alizadeh M, Ozel G, Hosseini B, Ortega EMM, Altun E. The generalized odd log-logistic family of distributions: properties, regression models and applications [Internet]. Journal of Statistical Computation and Simulation. 2017 ; 87( 5): 908-932.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1080/00949655.2016.1238088
  • Source: Journal of Statistical Computation and Simulation. Unidade: ESALQ

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

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    • ABNT

      CRUZ, José Nilton da e ORTEGA, Edwin Moises Marcos e CORDEIRO, Gauss M. The log-odd log-logistic Weibull regression model: modelling, estimation, influence diagnostics and residual analysis. Journal of Statistical Computation and Simulation, v. 86, n. 8, p. 1516-1538-, 2016Tradução . . Disponível em: https://doi.org/10.1080/00949655.2015.1071376. Acesso em: 19 nov. 2025.
    • APA

      Cruz, J. N. da, Ortega, E. M. M., & Cordeiro, G. M. (2016). The log-odd log-logistic Weibull regression model: modelling, estimation, influence diagnostics and residual analysis. Journal of Statistical Computation and Simulation, 86( 8), 1516-1538-. doi:10.1080/00949655.2015.1071376
    • NLM

      Cruz JN da, Ortega EMM, Cordeiro GM. The log-odd log-logistic Weibull regression model: modelling, estimation, influence diagnostics and residual analysis [Internet]. Journal of Statistical Computation and Simulation. 2016 ; 86( 8): 1516-1538-.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1080/00949655.2015.1071376
    • Vancouver

      Cruz JN da, Ortega EMM, Cordeiro GM. The log-odd log-logistic Weibull regression model: modelling, estimation, influence diagnostics and residual analysis [Internet]. Journal of Statistical Computation and Simulation. 2016 ; 86( 8): 1516-1538-.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1080/00949655.2015.1071376

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