Filtros : "Communications in Statistics - Simulation and Computation" "ICMC" Removido: "Brasil" Limpar

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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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    • ABNT

      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, v. 52, n. 11, p. 5178-5194, 2023Tradução . . Disponível em: https://doi.org/10.1080/03610918.2021.1977951. Acesso em: 01 dez. 2025.
    • APA

      Silva, M. A. da, Liu, R., Huggins-Manley, A. C., & Bazán Guzmán, J. L. (2023). Bayesian estimation of multidimensional polytomous item response theory models with Q-matrices using Stan. Communications in Statistics - Simulation and Computation, 52( 11), 5178-5194. doi:10.1080/03610918.2021.1977951
    • NLM

      Silva MA da, Liu R, Huggins-Manley AC, Bazán Guzmán JL. Bayesian estimation of multidimensional polytomous item response theory models with Q-matrices using Stan [Internet]. Communications in Statistics - Simulation and Computation. 2023 ; 52( 11): 5178-5194.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1080/03610918.2021.1977951
    • Vancouver

      Silva MA da, Liu R, Huggins-Manley AC, Bazán Guzmán JL. Bayesian estimation of multidimensional polytomous item response theory models with Q-matrices using Stan [Internet]. Communications in Statistics - Simulation and Computation. 2023 ; 52( 11): 5178-5194.[citado 2025 dez. 01 ] 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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    • ABNT

      CHESNEAU, Christophe et al. The polynomial-exponential distribution: a continuous probability model allowing for occurrence of zero values. Communications in Statistics - Simulation and Computation, v. 51, n. 8, p. 4581-4606, 2022Tradução . . Disponível em: https://doi.org/10.1080/03610918.2020.1746339. Acesso em: 01 dez. 2025.
    • APA

      Chesneau, C., Bakouch, H. S., Ramos, P. L., & Louzada, F. (2022). The polynomial-exponential distribution: a continuous probability model allowing for occurrence of zero values. Communications in Statistics - Simulation and Computation, 51( 8), 4581-4606. doi:10.1080/03610918.2020.1746339
    • NLM

      Chesneau C, Bakouch HS, Ramos PL, Louzada F. The polynomial-exponential distribution: a continuous probability model allowing for occurrence of zero values [Internet]. Communications in Statistics - Simulation and Computation. 2022 ; 51( 8): 4581-4606.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1080/03610918.2020.1746339
    • Vancouver

      Chesneau C, Bakouch HS, Ramos PL, Louzada F. The polynomial-exponential distribution: a continuous probability model allowing for occurrence of zero values [Internet]. Communications in Statistics - Simulation and Computation. 2022 ; 51( 8): 4581-4606.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1080/03610918.2020.1746339
  • Source: Communications in Statistics - Simulation and Computation. Unidades: ICMC, Interinstitucional de Pós-Graduação em Estatística

    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: 01 dez. 2025.
    • APA

      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 2025 dez. 01 ] 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 2025 dez. 01 ] Available from: https://doi.org/10.1080/03610918.2018.1538455
  • 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: 01 dez. 2025.
    • APA

      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 2025 dez. 01 ] 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 2025 dez. 01 ] Available from: https://doi.org/10.1080/03610918.2017.1395039
  • 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: https://doi.org/10.1080/03610918.2016.1206931. Acesso em: 01 dez. 2025.
    • APA

      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 2025 dez. 01 ] Available from: https://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 2025 dez. 01 ] Available from: https://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: https://doi.org/10.1080/03610918.2016.1152365. Acesso em: 01 dez. 2025.
    • APA

      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 2025 dez. 01 ] Available from: https://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 2025 dez. 01 ] Available from: https://doi.org/10.1080/03610918.2016.1152365
  • 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: https://doi.org/10.1080/03610918.2016.1267752. Acesso em: 01 dez. 2025.
    • APA

      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 2025 dez. 01 ] Available from: https://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 2025 dez. 01 ] Available from: https://doi.org/10.1080/03610918.2016.1267752
  • Source: Communications in Statistics - Simulation and Computation. Unidades: ICMC, ESALQ

    Assunto: INFERÊNCIA BAYESIANA

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      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: https://doi.org/10.1080/03610918.2011.639971. Acesso em: 01 dez. 2025.
    • 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 2025 dez. 01 ] Available from: https://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 2025 dez. 01 ] Available from: https://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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      RUSSO, Cibele Maria 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: 01 dez. 2025.
    • 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 2025 dez. 01 ] 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 2025 dez. 01 ] Available from: http://www.informaworld.com/smpp/content~db=all~content=a912581824

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