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  • 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: 24 abr. 2024.
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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 2024 abr. 24 ] 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 2024 abr. 24 ] 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: 24 abr. 2024.
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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 2024 abr. 24 ] 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 2024 abr. 24 ] 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: 24 abr. 2024.
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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 2024 abr. 24 ] 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 2024 abr. 24 ] Available from: https://doi.org/10.1080/00949655.2021.2022149
  • Source: Journal of Statistical Computation and Simulation. Unidades: ICMC, INTER: ICMC -UFSCAR

    Subjects: INFERÊNCIA BAYESIANA, SIMULAÇÃO, ENSAIO CLÍNICO

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      SILVA, Josimara Tatiane da e COBRE, Juliana e CASTRO, Mário de. New Bayesian approaches to equivalence testing. Journal of Statistical Computation and Simulation, v. 92, n. 5, p. 957-973, 2022Tradução . . Disponível em: https://doi.org/10.1080/00949655.2021.1981325. Acesso em: 24 abr. 2024.
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      Silva, J. T. da, Cobre, J., & Castro, M. de. (2022). New Bayesian approaches to equivalence testing. Journal of Statistical Computation and Simulation, 92( 5), 957-973. doi:10.1080/00949655.2021.1981325
    • NLM

      Silva JT da, Cobre J, Castro M de. New Bayesian approaches to equivalence testing [Internet]. Journal of Statistical Computation and Simulation. 2022 ; 92( 5): 957-973.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1080/00949655.2021.1981325
    • Vancouver

      Silva JT da, Cobre J, Castro M de. New Bayesian approaches to equivalence testing [Internet]. Journal of Statistical Computation and Simulation. 2022 ; 92( 5): 957-973.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1080/00949655.2021.1981325
  • 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: 24 abr. 2024.
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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 2024 abr. 24 ] 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 2024 abr. 24 ] Available from: https://doi.org/10.1080/00949655.2021.2005597
  • Source: Journal of Statistical Computation and Simulation. Unidade: ICMC

    Subjects: ANÁLISE DE SOBREVIVÊNCIA, VEROSSIMILHANÇA, INFERÊNCIA BAYESIANA

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      RAMOS, Pedro Luiz et al. Bayesian analysis of the inverse generalized gamma distribution using objective priors. Journal of Statistical Computation and Simulation, v. 91, n. 4, p. 786-816, 2021Tradução . . Disponível em: https://doi.org/10.1080/00949655.2020.1830991. Acesso em: 24 abr. 2024.
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      Ramos, P. L., Mota, A. L., Ferreira, P. H., Ramos, E., Tomazella, V. L. D., & Louzada, F. (2021). Bayesian analysis of the inverse generalized gamma distribution using objective priors. Journal of Statistical Computation and Simulation, 91( 4), 786-816. doi:10.1080/00949655.2020.1830991
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      Ramos PL, Mota AL, Ferreira PH, Ramos E, Tomazella VLD, Louzada F. Bayesian analysis of the inverse generalized gamma distribution using objective priors [Internet]. Journal of Statistical Computation and Simulation. 2021 ; 91( 4): 786-816.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1080/00949655.2020.1830991
    • Vancouver

      Ramos PL, Mota AL, Ferreira PH, Ramos E, Tomazella VLD, Louzada F. Bayesian analysis of the inverse generalized gamma distribution using objective priors [Internet]. Journal of Statistical Computation and Simulation. 2021 ; 91( 4): 786-816.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1080/00949655.2020.1830991
  • Source: Journal of Statistical Computation and Simulation. Unidade: ICMC

    Subjects: PROCESSOS DE POISSON, SIMULAÇÃO (ESTATÍSTICA), ANÁLISE DE DADOS

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      RAQUEL, Gabriela Cintra et al. A zero-modified Poisson mixed model with generalized random effect. Journal of Statistical Computation and Simulation, v. 91, n. 12, p. 2457-2474, 2021Tradução . . Disponível em: https://doi.org/10.1080/00949655.2021.1898612. Acesso em: 24 abr. 2024.
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      Raquel, G. C., Conceição, K. S., Prates, M. O., & Andrade, M. G. de. (2021). A zero-modified Poisson mixed model with generalized random effect. Journal of Statistical Computation and Simulation, 91( 12), 2457-2474. doi:10.1080/00949655.2021.1898612
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      Raquel GC, Conceição KS, Prates MO, Andrade MG de. A zero-modified Poisson mixed model with generalized random effect [Internet]. Journal of Statistical Computation and Simulation. 2021 ; 91( 12): 2457-2474.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1080/00949655.2021.1898612
    • Vancouver

      Raquel GC, Conceição KS, Prates MO, Andrade MG de. A zero-modified Poisson mixed model with generalized random effect [Internet]. Journal of Statistical Computation and Simulation. 2021 ; 91( 12): 2457-2474.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1080/00949655.2021.1898612
  • 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: 24 abr. 2024.
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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 2024 abr. 24 ] 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 2024 abr. 24 ] 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: 24 abr. 2024.
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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 2024 abr. 24 ] 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 2024 abr. 24 ] 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: 24 abr. 2024.
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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 2024 abr. 24 ] 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 2024 abr. 24 ] 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: 24 abr. 2024.
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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 2024 abr. 24 ] 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 2024 abr. 24 ] Available from: https://doi.org/10.1080/00949655.2018.1534116
  • Source: Journal of Statistical Computation and Simulation. Unidade: ICMC

    Subjects: CLUSTERS, ALGORITMOS ÚTEIS E ESPECÍFICOS, DISTRIBUIÇÕES (PROBABILIDADE)

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      SARAIVA, Erlandson Ferreira e PEREIRA, C. A. B e SUZUKI, Adriano Kamimura. A data-driven selection of the number of clusters in the Dirichlet allocation model via Bayesian mixture modelling. Journal of Statistical Computation and Simulation, v. 89, n. 15, p. 2848-2870, 2019Tradução . . Disponível em: https://doi.org/10.1080/00949655.2019.1643345. Acesso em: 24 abr. 2024.
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      Saraiva, E. F., Pereira, C. A. B., & Suzuki, A. K. (2019). A data-driven selection of the number of clusters in the Dirichlet allocation model via Bayesian mixture modelling. Journal of Statistical Computation and Simulation, 89( 15), 2848-2870. doi:10.1080/00949655.2019.1643345
    • NLM

      Saraiva EF, Pereira CAB, Suzuki AK. A data-driven selection of the number of clusters in the Dirichlet allocation model via Bayesian mixture modelling [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 15): 2848-2870.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1080/00949655.2019.1643345
    • Vancouver

      Saraiva EF, Pereira CAB, Suzuki AK. A data-driven selection of the number of clusters in the Dirichlet allocation model via Bayesian mixture modelling [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 15): 2848-2870.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1080/00949655.2019.1643345
  • 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: 24 abr. 2024.
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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
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      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 2024 abr. 24 ] 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 2024 abr. 24 ] 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: 24 abr. 2024.
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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
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      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 2024 abr. 24 ] 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 2024 abr. 24 ] Available from: https://doi.org/10.1080/00949655.2019.1599892
  • Source: Journal of Statistical Computation and Simulation. Unidades: ESALQ, ICMC

    Subjects: INFERÊNCIA ESTATÍSTICA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO

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      HASHIMOTO, Elizabeth Mie 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: 24 abr. 2024.
    • APA

      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 2024 abr. 24 ] 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 2024 abr. 24 ] Available from: https://doi.org/10.1080/00949655.2018.1534116
  • 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: 24 abr. 2024.
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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 2024 abr. 24 ] 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 2024 abr. 24 ] Available from: https://doi.org/10.1080/00949655.2019.1572144
  • 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: 24 abr. 2024.
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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 2024 abr. 24 ] 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 2024 abr. 24 ] Available from: https://doi.org/10.1080/00949655.2018.1479752
  • Source: Journal of Statistical Computation and Simulation. Unidade: ICMC

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

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    • ABNT

      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: 24 abr. 2024.
    • APA

      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 2024 abr. 24 ] 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 2024 abr. 24 ] Available from: https://doi.org/10.1080/00949655.2017.1422503
  • Source: Journal of Statistical Computation and Simulation. Unidade: ESALQ

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA, REGRESSÃO LINEAR

    Acesso à fonteDOIHow to cite
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    • ABNT

      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: 24 abr. 2024.
    • 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 2024 abr. 24 ] 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 2024 abr. 24 ] Available from: https://doi.org/10.1080/00949655.2017.1392524
  • 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: 24 abr. 2024.
    • APA

      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
    • NLM

      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 2024 abr. 24 ] 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 2024 abr. 24 ] Available from: https://doi.org/10.1080/00949655.2018.1451850

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