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Filtros : "Statistical Methods and Applications" Removido: "NEOPLASIAS GÁSTRICAS" Limpar

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  • Artigo de periodico

    Semiparametric transformation model in presence of cure fraction: a hierarchical Bayesian approach assuming the unknown hazards as latent factors (2024)

    Achcar, Jorge Alberto ; Barili, Emerson

    Source: Statistical Methods and Applications. Unidade: FMRP

    Subjects: DADOS CENSURADOS, INFERÊNCIA BAYESIANA, MÉTODOS MCMC, ANÁLISE DE SOBREVIVÊNCIA

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    • ABNT

      ACHCAR, Jorge Alberto e BARILI, Emerson. Semiparametric transformation model in presence of cure fraction: a hierarchical Bayesian approach assuming the unknown hazards as latent factors. Statistical Methods and Applications, v. 33, p. 357-380, 2024Tradução . . Disponível em: https://doi.org/10.1007/s10260-023-00734-w. Acesso em: 06 dez. 2025.

    • APA

      Achcar, J. A., & Barili, E. (2024). Semiparametric transformation model in presence of cure fraction: a hierarchical Bayesian approach assuming the unknown hazards as latent factors. Statistical Methods and Applications, 33, 357-380. doi:10.1007/s10260-023-00734-w

    • NLM

      Achcar JA, Barili E. Semiparametric transformation model in presence of cure fraction: a hierarchical Bayesian approach assuming the unknown hazards as latent factors [Internet]. Statistical Methods and Applications. 2024 ; 33 357-380.[citado 2025 dez. 06 ] Available from: https://doi.org/10.1007/s10260-023-00734-w

    • Vancouver

      Achcar JA, Barili E. Semiparametric transformation model in presence of cure fraction: a hierarchical Bayesian approach assuming the unknown hazards as latent factors [Internet]. Statistical Methods and Applications. 2024 ; 33 357-380.[citado 2025 dez. 06 ] Available from: https://doi.org/10.1007/s10260-023-00734-w

  • Artigo de periodico

    A Bayesian approach for zero-modified Skellam model with Hamiltonian MCMC (2021)

    Conceição, Katiane Silva ; Suzuki, Adriano Kamimura ; Andrade, Marinho Gomes de

    Source: Statistical Methods and Applications. Unidade: ICMC

    Subjects: MÉTODOS MCMC, PROCESSOS DE POISSON, DISTRIBUIÇÕES (PROBABILIDADE)

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    • ABNT

      CONCEIÇÃO, Katiane Silva e SUZUKI, Adriano Kamimura e ANDRADE, Marinho Gomes de. A Bayesian approach for zero-modified Skellam model with Hamiltonian MCMC. Statistical Methods and Applications, v. 30, p. 747-765, 2021Tradução . . Disponível em: https://doi.org/10.1007/s10260-020-00541-7. Acesso em: 06 dez. 2025.

    • APA

      Conceição, K. S., Suzuki, A. K., & Andrade, M. G. de. (2021). A Bayesian approach for zero-modified Skellam model with Hamiltonian MCMC. Statistical Methods and Applications, 30, 747-765. doi:10.1007/s10260-020-00541-7

    • NLM

      Conceição KS, Suzuki AK, Andrade MG de. A Bayesian approach for zero-modified Skellam model with Hamiltonian MCMC [Internet]. Statistical Methods and Applications. 2021 ; 30 747-765.[citado 2025 dez. 06 ] Available from: https://doi.org/10.1007/s10260-020-00541-7

    • Vancouver

      Conceição KS, Suzuki AK, Andrade MG de. A Bayesian approach for zero-modified Skellam model with Hamiltonian MCMC [Internet]. Statistical Methods and Applications. 2021 ; 30 747-765.[citado 2025 dez. 06 ] Available from: https://doi.org/10.1007/s10260-020-00541-7

  • Artigo de periodico

    The generalized log-gamma mixture model with covariates: local influence and residual analysis (2008)

    Ortega, Edwin Moises Marcos ; Rizzato, Fernanda Bührer; Demétrio, Clarice Garcia Borges

    Source: Statistical Methods and Applications. Unidade: ESALQ

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

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    • ABNT

      ORTEGA, Edwin Moises Marcos e RIZZATO, Fernanda Bührer e DEMÉTRIO, Clarice Garcia Borges. The generalized log-gamma mixture model with covariates: local influence and residual analysis. Statistical Methods and Applications, v. 18, p. 305-331, 2008Tradução . . Disponível em: https://doi.org/10.1007/s10260-008-0104-x. Acesso em: 06 dez. 2025.

    • APA

      Ortega, E. M. M., Rizzato, F. B., & Demétrio, C. G. B. (2008). The generalized log-gamma mixture model with covariates: local influence and residual analysis. Statistical Methods and Applications, 18, 305-331. doi:10.1007/s10260-008-0104-x

    • NLM

      Ortega EMM, Rizzato FB, Demétrio CGB. The generalized log-gamma mixture model with covariates: local influence and residual analysis [Internet]. Statistical Methods and Applications. 2008 ; 18 305-331.[citado 2025 dez. 06 ] Available from: https://doi.org/10.1007/s10260-008-0104-x

    • Vancouver

      Ortega EMM, Rizzato FB, Demétrio CGB. The generalized log-gamma mixture model with covariates: local influence and residual analysis [Internet]. Statistical Methods and Applications. 2008 ; 18 305-331.[citado 2025 dez. 06 ] Available from: https://doi.org/10.1007/s10260-008-0104-x
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