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  • Source: Communications in Statistics - Simulation and Computation. Unidades: ESALQ, ICMC

    Subjects: INFERÊNCIA BAYESIANA, MODELOS MATEMÁTICOS, SOFTWARES, TEORIA DE RESPOSTA AO ITEM

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      SILVA, Marcelo Andrade da et al. Bayesian estimation of multidimensional polytomous item response theory models with Q-matrices using Stan. Communications in Statistics - Simulation and Computation, 2021Tradução . . Disponível em: https://doi.org/10.1080/03610918.2021.1977951. Acesso em: 26 nov. 2022.
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      Silva, M. A. da, Liu, R., Huggins-Manley, A. C., & Bazán, J. L. (2021). Bayesian estimation of multidimensional polytomous item response theory models with Q-matrices using Stan. Communications in Statistics - Simulation and Computation. doi:10.1080/03610918.2021.1977951
    • NLM

      Silva MA da, Liu R, Huggins-Manley AC, Bazán JL. Bayesian estimation of multidimensional polytomous item response theory models with Q-matrices using Stan [Internet]. Communications in Statistics - Simulation and Computation. 2021 ;[citado 2022 nov. 26 ] Available from: https://doi.org/10.1080/03610918.2021.1977951
    • Vancouver

      Silva MA da, Liu R, Huggins-Manley AC, Bazán JL. Bayesian estimation of multidimensional polytomous item response theory models with Q-matrices using Stan [Internet]. Communications in Statistics - Simulation and Computation. 2021 ;[citado 2022 nov. 26 ] Available from: https://doi.org/10.1080/03610918.2021.1977951
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ICMC

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA, SIMULAÇÃO (ESTATÍSTICA)

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      CHESNEAU, Christophe et al. The polynomial-exponential distribution: a continuous probability model allowing for occurrence of zero values. Communications in Statistics - Simulation and Computation, 2020Tradução . . Disponível em: https://doi.org/10.1080/03610918.2020.1746339. Acesso em: 26 nov. 2022.
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      Chesneau, C., Bakouch, H. S., Ramos, P. L., & Louzada Neto, F. (2020). The polynomial-exponential distribution: a continuous probability model allowing for occurrence of zero values. Communications in Statistics - Simulation and Computation. doi:10.1080/03610918.2020.1746339
    • NLM

      Chesneau C, Bakouch HS, Ramos PL, Louzada Neto F. The polynomial-exponential distribution: a continuous probability model allowing for occurrence of zero values [Internet]. Communications in Statistics - Simulation and Computation. 2020 ;[citado 2022 nov. 26 ] Available from: https://doi.org/10.1080/03610918.2020.1746339
    • Vancouver

      Chesneau C, Bakouch HS, Ramos PL, Louzada Neto F. The polynomial-exponential distribution: a continuous probability model allowing for occurrence of zero values [Internet]. Communications in Statistics - Simulation and Computation. 2020 ;[citado 2022 nov. 26 ] Available from: https://doi.org/10.1080/03610918.2020.1746339
  • Source: Communications in Statistics - Simulation and Computation. Unidades: ICMC, INTER: ICMC -UFSCAR

    Subjects: INFERÊNCIA BAYESIANA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, ANÁLISE DE SOBREVIVÊNCIA, PROCESSOS DE MARKOV, PROCESSOS ESTOCÁSTICOS

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      RODRIGUES, Josemar et al. Bayesian superposition of pure-birth destructive cure processes for tumor latency. Communications in Statistics - Simulation and Computation, v. 49, n. 12, p. 3240-3253, 2020Tradução . . Disponível em: https://doi.org/10.1080/03610918.2018.1538455. Acesso em: 26 nov. 2022.
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      Rodrigues, J., Inacio, M. H. de A., Suzuki, A. K., Silva, F. R. da, & Balakrishnan, N. (2020). Bayesian superposition of pure-birth destructive cure processes for tumor latency. Communications in Statistics - Simulation and Computation, 49( 12), 3240-3253. doi:10.1080/03610918.2018.1538455
    • NLM

      Rodrigues J, Inacio MH de A, Suzuki AK, Silva FR da, Balakrishnan N. Bayesian superposition of pure-birth destructive cure processes for tumor latency [Internet]. Communications in Statistics - Simulation and Computation. 2020 ; 49( 12): 3240-3253.[citado 2022 nov. 26 ] Available from: https://doi.org/10.1080/03610918.2018.1538455
    • Vancouver

      Rodrigues J, Inacio MH de A, Suzuki AK, Silva FR da, Balakrishnan N. Bayesian superposition of pure-birth destructive cure processes for tumor latency [Internet]. Communications in Statistics - Simulation and Computation. 2020 ; 49( 12): 3240-3253.[citado 2022 nov. 26 ] Available from: https://doi.org/10.1080/03610918.2018.1538455
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ICMC

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA, ESTIMAÇÃO PARAMÉTRICA, METEOROLOGIA

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      LOUZADA, Francisco e RAMOS, Pedro Luiz e FERREIRA, Paulo Henrique. Exponential-Poisson distribution: estimation and applications to rainfall and aircraft data with zero occurrence. Communications in Statistics - Simulation and Computation, v. 49, n. 4, p. 1024-1043, 2020Tradução . . Disponível em: https://doi.org/10.1080/03610918.2018.1491988. Acesso em: 26 nov. 2022.
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      Louzada, F., Ramos, P. L., & Ferreira, P. H. (2020). Exponential-Poisson distribution: estimation and applications to rainfall and aircraft data with zero occurrence. Communications in Statistics - Simulation and Computation, 49( 4), 1024-1043. doi:10.1080/03610918.2018.1491988
    • NLM

      Louzada F, Ramos PL, Ferreira PH. Exponential-Poisson distribution: estimation and applications to rainfall and aircraft data with zero occurrence [Internet]. Communications in Statistics - Simulation and Computation. 2020 ; 49( 4): 1024-1043.[citado 2022 nov. 26 ] Available from: https://doi.org/10.1080/03610918.2018.1491988
    • Vancouver

      Louzada F, Ramos PL, Ferreira PH. Exponential-Poisson distribution: estimation and applications to rainfall and aircraft data with zero occurrence [Internet]. Communications in Statistics - Simulation and Computation. 2020 ; 49( 4): 1024-1043.[citado 2022 nov. 26 ] Available from: https://doi.org/10.1080/03610918.2018.1491988
  • Source: Communications in Statistics - Simulation and Computation. Unidades: ICMC, INTER: ICMC -UFSCAR

    Subjects: ANÁLISE DE SOBREVIVÊNCIA, DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA

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      CANCHO, Vicente Garibay et al. A multivariate survival model induced by discrete frailty. Communications in Statistics - Simulation and Computation, 2020Tradução . . Disponível em: https://doi.org/10.1080/03610918.2020.1806323. Acesso em: 26 nov. 2022.
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      Cancho, V. G., Suzuki, A. K., Barriga, G. D. C., & Santo, A. P. J. do E. (2020). A multivariate survival model induced by discrete frailty. Communications in Statistics - Simulation and Computation. doi:10.1080/03610918.2020.1806323
    • NLM

      Cancho VG, Suzuki AK, Barriga GDC, Santo APJ do E. A multivariate survival model induced by discrete frailty [Internet]. Communications in Statistics - Simulation and Computation. 2020 ;[citado 2022 nov. 26 ] Available from: https://doi.org/10.1080/03610918.2020.1806323
    • Vancouver

      Cancho VG, Suzuki AK, Barriga GDC, Santo APJ do E. A multivariate survival model induced by discrete frailty [Internet]. Communications in Statistics - Simulation and Computation. 2020 ;[citado 2022 nov. 26 ] Available from: https://doi.org/10.1080/03610918.2020.1806323
  • Source: Communications in Statistics - Simulation and Computation. Unidades: ESALQ, ICMC

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

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      PRATAVIERA, Fabio et al. The exponentiated power exponential semiparametric regression model. Communications in Statistics - Simulation and Computation, p. 1-21, 2020Tradução . . Disponível em: https://doi.org/10.1080/03610918.2020.1788585. Acesso em: 26 nov. 2022.
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      Prataviera, F., Ortega, E. M. M., Cordeiro, G. M., & Cancho, V. G. (2020). The exponentiated power exponential semiparametric regression model. Communications in Statistics - Simulation and Computation, 1-21. doi:10.1080/03610918.2020.1788585
    • NLM

      Prataviera F, Ortega EMM, Cordeiro GM, Cancho VG. The exponentiated power exponential semiparametric regression model [Internet]. Communications in Statistics - Simulation and Computation. 2020 ; 1-21.[citado 2022 nov. 26 ] Available from: https://doi.org/10.1080/03610918.2020.1788585
    • Vancouver

      Prataviera F, Ortega EMM, Cordeiro GM, Cancho VG. The exponentiated power exponential semiparametric regression model [Internet]. Communications in Statistics - Simulation and Computation. 2020 ; 1-21.[citado 2022 nov. 26 ] Available from: https://doi.org/10.1080/03610918.2020.1788585
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ICMC

    Subjects: MODELOS, MÉTODO DE MONTE CARLO, SIMULAÇÃO DE SISTEMAS, INFERÊNCIA BAYESIANA, CRÉDITO, RESPOSTAS, TEORIA DE RESPOSTA AO ITEM

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      SILVA, Marcelo A. da e HUGGINS-MANLEY, Anne Corinne e BAZÁN GUZMÁN, Jorge Luis. Sensitivity analysis and choosing between alternative polytomous IRT models using bayesian model comparison criteria. Communications in Statistics - Simulation and Computation, v. Fe 2019, n. 2, p. 601-620, 2019Tradução . . Disponível em: http://dx.doi.org/10.1080/03610918.2017.1390126. Acesso em: 26 nov. 2022.
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      Silva, M. A. da, Huggins-Manley, A. C., & Bazán Guzmán, J. L. (2019). Sensitivity analysis and choosing between alternative polytomous IRT models using bayesian model comparison criteria. Communications in Statistics - Simulation and Computation, Fe 2019( 2), 601-620. doi:10.1080/03610918.2017.1390126
    • NLM

      Silva MA da, Huggins-Manley AC, Bazán Guzmán JL. Sensitivity analysis and choosing between alternative polytomous IRT models using bayesian model comparison criteria [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; Fe 2019( 2): 601-620.[citado 2022 nov. 26 ] Available from: http://dx.doi.org/10.1080/03610918.2017.1390126
    • Vancouver

      Silva MA da, Huggins-Manley AC, Bazán Guzmán JL. Sensitivity analysis and choosing between alternative polytomous IRT models using bayesian model comparison criteria [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; Fe 2019( 2): 601-620.[citado 2022 nov. 26 ] Available from: http://dx.doi.org/10.1080/03610918.2017.1390126
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ICMC

    Subjects: ESTATÍSTICA, INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA

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      MARTINO, L. e LOUZADA, Francisco. Adaptive rejection sampling with fixed number of nodes. Communications in Statistics - Simulation and Computation, v. 48, n. 3, p. 655-665, 2019Tradução . . Disponível em: https://doi.org/10.1080/03610918.2017.1395039. Acesso em: 26 nov. 2022.
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      Martino, L., & Louzada, F. (2019). Adaptive rejection sampling with fixed number of nodes. Communications in Statistics - Simulation and Computation, 48( 3), 655-665. doi:10.1080/03610918.2017.1395039
    • NLM

      Martino L, Louzada F. Adaptive rejection sampling with fixed number of nodes [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 48( 3): 655-665.[citado 2022 nov. 26 ] Available from: https://doi.org/10.1080/03610918.2017.1395039
    • Vancouver

      Martino L, Louzada F. Adaptive rejection sampling with fixed number of nodes [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 48( 3): 655-665.[citado 2022 nov. 26 ] Available from: https://doi.org/10.1080/03610918.2017.1395039
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ICMC

    Subjects: PROBABILIDADE, ANÁLISE DE ERROS, TEORIA DA CONFIABILIDADE, DADOS CENSURADOS

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      FERREIRA, Paulo H. e LOUZADA, Francisco. Maximum likelihood estimation for bivariate SUR Tobit modeling in presence of two right-censored dependent variables. Communications in Statistics - Simulation and Computation, v. 48, n. Ja 2019, p. 150-168, 2019Tradução . . Disponível em: http://dx.doi.org/10.1080/03610918.2017.1375521. Acesso em: 26 nov. 2022.
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      Ferreira, P. H., & Louzada, F. (2019). Maximum likelihood estimation for bivariate SUR Tobit modeling in presence of two right-censored dependent variables. Communications in Statistics - Simulation and Computation, 48( Ja 2019), 150-168. doi:10.1080/03610918.2017.1375521
    • NLM

      Ferreira PH, Louzada F. Maximum likelihood estimation for bivariate SUR Tobit modeling in presence of two right-censored dependent variables [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 48( Ja 2019): 150-168.[citado 2022 nov. 26 ] Available from: http://dx.doi.org/10.1080/03610918.2017.1375521
    • Vancouver

      Ferreira PH, Louzada F. Maximum likelihood estimation for bivariate SUR Tobit modeling in presence of two right-censored dependent variables [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 48( Ja 2019): 150-168.[citado 2022 nov. 26 ] Available from: http://dx.doi.org/10.1080/03610918.2017.1375521
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ICMC

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), MODELOS EM SÉRIES TEMPORAIS, CHUVA

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      MILANI, Eder Angelo et al. A Bernoulli autoregressive moving average model applied to rainfall occurrence. Communications in Statistics - Simulation and Computation, v. 48, n. 9, p. 2743-2756, 2019Tradução . . Disponível em: https://doi.org/10.1080/03610918.2018.1468453. Acesso em: 26 nov. 2022.
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      Milani, E. A., Hartmann, M., Andrade Filho, M. G. de, & Diniz, C. A. R. (2019). A Bernoulli autoregressive moving average model applied to rainfall occurrence. Communications in Statistics - Simulation and Computation, 48( 9), 2743-2756. doi:10.1080/03610918.2018.1468453
    • NLM

      Milani EA, Hartmann M, Andrade Filho MG de, Diniz CAR. A Bernoulli autoregressive moving average model applied to rainfall occurrence [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 48( 9): 2743-2756.[citado 2022 nov. 26 ] Available from: https://doi.org/10.1080/03610918.2018.1468453
    • Vancouver

      Milani EA, Hartmann M, Andrade Filho MG de, Diniz CAR. A Bernoulli autoregressive moving average model applied to rainfall occurrence [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 48( 9): 2743-2756.[citado 2022 nov. 26 ] Available from: https://doi.org/10.1080/03610918.2018.1468453
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ICMC

    Subject: REGRESSÃO

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      SILVA, Eveliny Barroso da et al. A class of beta regression models with multiplicative log-normal measurement errors. Communications in Statistics - Simulation and Computation, v. 47, n. 1, p. 229-248, 2018Tradução . . Disponível em: http://dx.doi.org/10.1080/03610918.2017.1280165. Acesso em: 26 nov. 2022.
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      Silva, E. B. da, Diniz, C. A. R., Carrasco, J. M. F., & Castro, M. de. (2018). A class of beta regression models with multiplicative log-normal measurement errors. Communications in Statistics - Simulation and Computation, 47( 1), 229-248. doi:10.1080/03610918.2017.1280165
    • NLM

      Silva EB da, Diniz CAR, Carrasco JMF, Castro M de. A class of beta regression models with multiplicative log-normal measurement errors [Internet]. Communications in Statistics - Simulation and Computation. 2018 ; 47( 1): 229-248.[citado 2022 nov. 26 ] Available from: http://dx.doi.org/10.1080/03610918.2017.1280165
    • Vancouver

      Silva EB da, Diniz CAR, Carrasco JMF, Castro M de. A class of beta regression models with multiplicative log-normal measurement errors [Internet]. Communications in Statistics - Simulation and Computation. 2018 ; 47( 1): 229-248.[citado 2022 nov. 26 ] Available from: http://dx.doi.org/10.1080/03610918.2017.1280165
  • Source: Communications in Statistics - Simulation and Computation. Unidades: ESALQ, ICMC

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

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      OZEL, Gamze et al. The odd log-logistic Lindley Poisson model for lifetime data. Communications in Statistics - Simulation and Computation, v. 46, n. 8, p. 6513-6537, 2017Tradução . . Disponível em: http://dx.doi.org/10.1080/03610918.2016.1206931. Acesso em: 26 nov. 2022.
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      Ozel, G., Alizadeh, M., Cakmakyapan, S., Hamedani, G. G., Ortega, E. M. M., & Cancho, V. G. (2017). The odd log-logistic Lindley Poisson model for lifetime data. Communications in Statistics - Simulation and Computation, 46( 8), 6513-6537. doi:10.1080/03610918.2016.1206931
    • NLM

      Ozel G, Alizadeh M, Cakmakyapan S, Hamedani GG, Ortega EMM, Cancho VG. The odd log-logistic Lindley Poisson model for lifetime data [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 8): 6513-6537.[citado 2022 nov. 26 ] Available from: http://dx.doi.org/10.1080/03610918.2016.1206931
    • Vancouver

      Ozel G, Alizadeh M, Cakmakyapan S, Hamedani GG, Ortega EMM, Cancho VG. The odd log-logistic Lindley Poisson model for lifetime data [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 8): 6513-6537.[citado 2022 nov. 26 ] Available from: http://dx.doi.org/10.1080/03610918.2016.1206931
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ICMC

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

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      HARTMANN, Marcelo e EHLERS, Ricardo Sandes. Bayesian inference for generalized extreme value distributions via Hamiltonian Monte Carlo. Communications in Statistics - Simulation and Computation, v. 46, n. 7, p. 5285-5302, 2017Tradução . . Disponível em: http://dx.doi.org/10.1080/03610918.2016.1152365. Acesso em: 26 nov. 2022.
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      Hartmann, M., & Ehlers, R. S. (2017). Bayesian inference for generalized extreme value distributions via Hamiltonian Monte Carlo. Communications in Statistics - Simulation and Computation, 46( 7), 5285-5302. doi:10.1080/03610918.2016.1152365
    • NLM

      Hartmann M, Ehlers RS. Bayesian inference for generalized extreme value distributions via Hamiltonian Monte Carlo [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 7): 5285-5302.[citado 2022 nov. 26 ] Available from: http://dx.doi.org/10.1080/03610918.2016.1152365
    • Vancouver

      Hartmann M, Ehlers RS. Bayesian inference for generalized extreme value distributions via Hamiltonian Monte Carlo [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 7): 5285-5302.[citado 2022 nov. 26 ] Available from: http://dx.doi.org/10.1080/03610918.2016.1152365
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ICMC

    Subjects: PROCESSOS ESTOCÁSTICOS, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA

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      ZEVALLOS, Mauricio e GASCO, Loretta e EHLERS, Ricardo Sandes. Riemann manifold Langevin methods on stochastic volatility estimation. Communications in Statistics - Simulation and Computation, v. 46, n. 10, p. 7942-7956, 2017Tradução . . Disponível em: http://dx.doi.org/10.1080/03610918.2016.1255972. Acesso em: 26 nov. 2022.
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      Zevallos, M., Gasco, L., & Ehlers, R. S. (2017). Riemann manifold Langevin methods on stochastic volatility estimation. Communications in Statistics - Simulation and Computation, 46( 10), 7942-7956. doi:10.1080/03610918.2016.1255972
    • NLM

      Zevallos M, Gasco L, Ehlers RS. Riemann manifold Langevin methods on stochastic volatility estimation [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 10): 7942-7956.[citado 2022 nov. 26 ] Available from: http://dx.doi.org/10.1080/03610918.2016.1255972
    • Vancouver

      Zevallos M, Gasco L, Ehlers RS. Riemann manifold Langevin methods on stochastic volatility estimation [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 10): 7942-7956.[citado 2022 nov. 26 ] Available from: http://dx.doi.org/10.1080/03610918.2016.1255972
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ICMC

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA

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      DEY, Sanku et al. Exponentiated chen distribution: properties and estimation. Communications in Statistics - Simulation and Computation, v. 46, n. 10, p. 8118-8139, 2017Tradução . . Disponível em: http://dx.doi.org/10.1080/03610918.2016.1267752. Acesso em: 26 nov. 2022.
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      Dey, S., Kumar, D., Ramos, P. L., & Louzada, F. (2017). Exponentiated chen distribution: properties and estimation. Communications in Statistics - Simulation and Computation, 46( 10), 8118-8139. doi:10.1080/03610918.2016.1267752
    • NLM

      Dey S, Kumar D, Ramos PL, Louzada F. Exponentiated chen distribution: properties and estimation [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 10): 8118-8139.[citado 2022 nov. 26 ] Available from: http://dx.doi.org/10.1080/03610918.2016.1267752
    • Vancouver

      Dey S, Kumar D, Ramos PL, Louzada F. Exponentiated chen distribution: properties and estimation [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 10): 8118-8139.[citado 2022 nov. 26 ] Available from: http://dx.doi.org/10.1080/03610918.2016.1267752
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA

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      MAZUCHELI, Josmar e GHITANY, M. E e LOUZADA, Francisco. Comparisons of ten estimation methods for the parameters of Marshall-Olkin extended exponential distribution. Communications in Statistics - Simulation and Computation, v. 46, n. 7, p. 5627-5645, 2017Tradução . . Disponível em: http://dx.doi.org/10.1080/03610918.2016.1171345. Acesso em: 26 nov. 2022.
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      Mazucheli, J., Ghitany, M. E., & Louzada, F. (2017). Comparisons of ten estimation methods for the parameters of Marshall-Olkin extended exponential distribution. Communications in Statistics - Simulation and Computation, 46( 7), 5627-5645. doi:10.1080/03610918.2016.1171345
    • NLM

      Mazucheli J, Ghitany ME, Louzada F. Comparisons of ten estimation methods for the parameters of Marshall-Olkin extended exponential distribution [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 7): 5627-5645.[citado 2022 nov. 26 ] Available from: http://dx.doi.org/10.1080/03610918.2016.1171345
    • Vancouver

      Mazucheli J, Ghitany ME, Louzada F. Comparisons of ten estimation methods for the parameters of Marshall-Olkin extended exponential distribution [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 7): 5627-5645.[citado 2022 nov. 26 ] Available from: http://dx.doi.org/10.1080/03610918.2016.1171345
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ICMC

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

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      ANDRADE, Breno Silveira de e LESKOW, Jacek e ANDRADE FILHO, Marinho Gomes de. Transformed GARMA model: properties and simulations. Communications in Statistics - Simulation and Computation, v. 46, n. 9, p. 7166-7179, 2017Tradução . . Disponível em: http://dx.doi.org/10.1080/03610918.2016.1230215. Acesso em: 26 nov. 2022.
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      Andrade, B. S. de, Leskow, J., & Andrade Filho, M. G. de. (2017). Transformed GARMA model: properties and simulations. Communications in Statistics - Simulation and Computation, 46( 9), 7166-7179. doi:10.1080/03610918.2016.1230215
    • NLM

      Andrade BS de, Leskow J, Andrade Filho MG de. Transformed GARMA model: properties and simulations [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 9): 7166-7179.[citado 2022 nov. 26 ] Available from: http://dx.doi.org/10.1080/03610918.2016.1230215
    • Vancouver

      Andrade BS de, Leskow J, Andrade Filho MG de. Transformed GARMA model: properties and simulations [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 9): 7166-7179.[citado 2022 nov. 26 ] Available from: http://dx.doi.org/10.1080/03610918.2016.1230215
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ICMC

    Subjects: PROBABILIDADE, INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA, ANÁLISE DE SÉRIES TEMPORAIS

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    • ABNT

      MILANI, Eder e ANDRADE FILHO, Marinho Gomes de e DINIZ, Carlos. Generalized normal ARMA model applied to the areas of economy, hydrology, and public policy. Communications in Statistics - Simulation and Computation, v. 46, n. 7, p. 5819-5835, 2017Tradução . . Disponível em: http://dx.doi.org/10.1080/03610918.2015.1100736. Acesso em: 26 nov. 2022.
    • APA

      Milani, E., Andrade Filho, M. G. de, & Diniz, C. (2017). Generalized normal ARMA model applied to the areas of economy, hydrology, and public policy. Communications in Statistics - Simulation and Computation, 46( 7), 5819-5835. doi:10.1080/03610918.2015.1100736
    • NLM

      Milani E, Andrade Filho MG de, Diniz C. Generalized normal ARMA model applied to the areas of economy, hydrology, and public policy [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 7): 5819-5835.[citado 2022 nov. 26 ] Available from: http://dx.doi.org/10.1080/03610918.2015.1100736
    • Vancouver

      Milani E, Andrade Filho MG de, Diniz C. Generalized normal ARMA model applied to the areas of economy, hydrology, and public policy [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 7): 5819-5835.[citado 2022 nov. 26 ] Available from: http://dx.doi.org/10.1080/03610918.2015.1100736
  • Source: Communications in Statistics - Simulation and Computation. Unidades: ICMC, ESALQ

    Subject: INFERÊNCIA BAYESIANA

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    • ABNT

      CANCHO, Vicente Garibay e LOUZADA, Francisco e ORTEGA, Edwin Moisés Marcos. The power series cure rate model: an application to a cutaneous melanoma data. Communications in Statistics - Simulation and Computation, v. 42, n. 3, p. 586-602, 2013Tradução . . Disponível em: http://dx.doi.org/10.1080/03610918.2011.639971. Acesso em: 26 nov. 2022.
    • APA

      Cancho, V. G., Louzada, F., & Ortega, E. M. M. (2013). The power series cure rate model: an application to a cutaneous melanoma data. Communications in Statistics - Simulation and Computation, 42( 3), 586-602. doi:10.1080/03610918.2011.639971
    • NLM

      Cancho VG, Louzada F, Ortega EMM. The power series cure rate model: an application to a cutaneous melanoma data [Internet]. Communications in Statistics - Simulation and Computation. 2013 ; 42( 3): 586-602.[citado 2022 nov. 26 ] Available from: http://dx.doi.org/10.1080/03610918.2011.639971
    • Vancouver

      Cancho VG, Louzada F, Ortega EMM. The power series cure rate model: an application to a cutaneous melanoma data [Internet]. Communications in Statistics - Simulation and Computation. 2013 ; 42( 3): 586-602.[citado 2022 nov. 26 ] Available from: http://dx.doi.org/10.1080/03610918.2011.639971
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ICMC

    Subjects: INFERÊNCIA ESTATÍSTICA, REGRESSÃO LINEAR, OTIMIZAÇÃO ESTOCÁSTICA

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    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      RUSSO, Cibele M. e AOKI, Reiko e PINTO JUNIOR, Dorival Leão. Hypotheses testing on a multivariate null intercept errors-in-variables model. Communications in Statistics - Simulation and Computation, 2009Tradução . . Disponível em: http://www.informaworld.com/smpp/content~db=all~content=a912581824. Acesso em: 26 nov. 2022.
    • APA

      Russo, C. M., Aoki, R., & Pinto Junior, D. L. (2009). Hypotheses testing on a multivariate null intercept errors-in-variables model. Communications in Statistics - Simulation and Computation. Recuperado de http://www.informaworld.com/smpp/content~db=all~content=a912581824
    • NLM

      Russo CM, Aoki R, Pinto Junior DL. Hypotheses testing on a multivariate null intercept errors-in-variables model [Internet]. Communications in Statistics - Simulation and Computation. 2009 ;[citado 2022 nov. 26 ] Available from: http://www.informaworld.com/smpp/content~db=all~content=a912581824
    • Vancouver

      Russo CM, Aoki R, Pinto Junior DL. Hypotheses testing on a multivariate null intercept errors-in-variables model [Internet]. Communications in Statistics - Simulation and Computation. 2009 ;[citado 2022 nov. 26 ] Available from: http://www.informaworld.com/smpp/content~db=all~content=a912581824

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