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Filtros : "INFERÊNCIA BAYESIANA" "Portugal" "IME" Removidos: "África do Sul" "IQSC" Limpar

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  • Artigo de periodico

    Sample size for estimating organism concentration in ballast water: A Bayesian approach (2021)

    Costa, Eliardo Guimarães da ; Paulino, Carlos Daniel ; Singer, Júlio da Motta

    Source: Brazilian Journal of Probability and Statistics. Unidade: IME

    Subjects: DISTRIBUIÇÃO DE POISSON, INFERÊNCIA BAYESIANA

    Acesso à fonteDOIHow to cite
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    • ABNT

      COSTA, Eliardo Guimarães da e PAULINO, Carlos Daniel e SINGER, Júlio da Motta. Sample size for estimating organism concentration in ballast water: A Bayesian approach. Brazilian Journal of Probability and Statistics, 2021Tradução . . Disponível em: https://doi.org/10.1214/20-BJPS470. Acesso em: 12 out. 2024.

    • APA

      Costa, E. G. da, Paulino, C. D., & Singer, J. da M. (2021). Sample size for estimating organism concentration in ballast water: A Bayesian approach. Brazilian Journal of Probability and Statistics. doi:10.1214/20-BJPS470

    • NLM

      Costa EG da, Paulino CD, Singer J da M. Sample size for estimating organism concentration in ballast water: A Bayesian approach [Internet]. Brazilian Journal of Probability and Statistics. 2021 ;[citado 2024 out. 12 ] Available from: https://doi.org/10.1214/20-BJPS470

    • Vancouver

      Costa EG da, Paulino CD, Singer J da M. Sample size for estimating organism concentration in ballast water: A Bayesian approach [Internet]. Brazilian Journal of Probability and Statistics. 2021 ;[citado 2024 out. 12 ] Available from: https://doi.org/10.1214/20-BJPS470

  • Artigo de periodico

    Random changepoint segmented regression with smooth transition (2021)

    Singer, Júlio da Motta ; Rocha, Francisco Marcelo Monteiro da ; Lima, Antonio Carlos Pedroso de ; Silva, Giovani Loiola da ; Coatti, Giuliana Castello ; Zatz, Mayana

    Source: Statistical Methods in Medical Research. Unidades: IME, IB

    Subjects: ESCLEROSE AMIOTRÓFICA LATERAL, BIOESTATÍSTICA, INFERÊNCIA BAYESIANA, REGRESSÃO LINEAR

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    • ABNT

      SINGER, Júlio da Motta et al. Random changepoint segmented regression with smooth transition. Statistical Methods in Medical Research, v. 30, n. 3, p. 643-654, 2021Tradução . . Disponível em: https://doi.org/10.1177/0962280220964953. Acesso em: 12 out. 2024.

    • APA

      Singer, J. da M., Rocha, F. M. M. da, Lima, A. C. P. de, Silva, G. L. da, Coatti, G. C., & Zatz, M. (2021). Random changepoint segmented regression with smooth transition. Statistical Methods in Medical Research, 30( 3), 643-654. doi:10.1177/0962280220964953

    • NLM

      Singer J da M, Rocha FMM da, Lima ACP de, Silva GL da, Coatti GC, Zatz M. Random changepoint segmented regression with smooth transition [Internet]. Statistical Methods in Medical Research. 2021 ; 30( 3): 643-654.[citado 2024 out. 12 ] Available from: https://doi.org/10.1177/0962280220964953

    • Vancouver

      Singer J da M, Rocha FMM da, Lima ACP de, Silva GL da, Coatti GC, Zatz M. Random changepoint segmented regression with smooth transition [Internet]. Statistical Methods in Medical Research. 2021 ; 30( 3): 643-654.[citado 2024 out. 12 ] Available from: https://doi.org/10.1177/0962280220964953

  • Artigo de periodico

    Semi-parametric Bayesian analysis of binary responses with a continuous covariate subject to non-random missingness (2015)

    Poleto, Frederico Zanqueta; Paulino, Carlos Daniel ; Singer, Júlio da Motta ; Molenberghs, Geert

    Source: Statistical Modelling. Unidade: IME

    Subjects: INFERÊNCIA ESTATÍSTICA, INFERÊNCIA BAYESIANA, INFERÊNCIA NÃO PARAMÉTRICA, INFERÊNCIA SEMIPARAMÉTRICA, SÉRIES DE DIRICHLET, ANÁLISE MULTIVARIADA

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    • ABNT

      POLETO, Frederico Zanqueta et al. Semi-parametric Bayesian analysis of binary responses with a continuous covariate subject to non-random missingness. Statistical Modelling, v. 15, n. 1, p. 1-23, 2015Tradução . . Disponível em: https://doi.org/10.1177/1471082X14549290. Acesso em: 12 out. 2024.

    • APA

      Poleto, F. Z., Paulino, C. D., Singer, J. da M., & Molenberghs, G. (2015). Semi-parametric Bayesian analysis of binary responses with a continuous covariate subject to non-random missingness. Statistical Modelling, 15( 1), 1-23. doi:10.1177/1471082X14549290

    • NLM

      Poleto FZ, Paulino CD, Singer J da M, Molenberghs G. Semi-parametric Bayesian analysis of binary responses with a continuous covariate subject to non-random missingness [Internet]. Statistical Modelling. 2015 ; 15( 1): 1-23.[citado 2024 out. 12 ] Available from: https://doi.org/10.1177/1471082X14549290

    • Vancouver

      Poleto FZ, Paulino CD, Singer J da M, Molenberghs G. Semi-parametric Bayesian analysis of binary responses with a continuous covariate subject to non-random missingness [Internet]. Statistical Modelling. 2015 ; 15( 1): 1-23.[citado 2024 out. 12 ] Available from: https://doi.org/10.1177/1471082X14549290

  • Artigo de periodico

    A product-multinomial framework for categorical data analysis with missing responses (2014)

    Poleto, Frederico Zanqueta; Singer, Júlio da Motta ; Paulino, Carlos Daniel

    Source: Brazilian Journal of Probability and Statistics. Unidade: IME

    Subjects: INFERÊNCIA BAYESIANA, INFERÊNCIA PARAMÉTRICA, DADOS CATEGORIZADOS

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    • ABNT

      POLETO, Frederico Zanqueta e SINGER, Júlio da Motta e PAULINO, Carlos Daniel. A product-multinomial framework for categorical data analysis with missing responses. Brazilian Journal of Probability and Statistics, v. 28, n. 1, p. 109-139, 2014Tradução . . Disponível em: https://doi.org/10.1214/12-BJPS198. Acesso em: 12 out. 2024.

    • APA

      Poleto, F. Z., Singer, J. da M., & Paulino, C. D. (2014). A product-multinomial framework for categorical data analysis with missing responses. Brazilian Journal of Probability and Statistics, 28( 1), 109-139. doi:10.1214/12-BJPS198

    • NLM

      Poleto FZ, Singer J da M, Paulino CD. A product-multinomial framework for categorical data analysis with missing responses [Internet]. Brazilian Journal of Probability and Statistics. 2014 ; 28( 1): 109-139.[citado 2024 out. 12 ] Available from: https://doi.org/10.1214/12-BJPS198

    • Vancouver

      Poleto FZ, Singer J da M, Paulino CD. A product-multinomial framework for categorical data analysis with missing responses [Internet]. Brazilian Journal of Probability and Statistics. 2014 ; 28( 1): 109-139.[citado 2024 out. 12 ] Available from: https://doi.org/10.1214/12-BJPS198

  • Artigo de periodico

    A fully Bayesian parametric approach for cytogenetic dosimetry (2013)

    Paulino, Carlos Daniel ; Silva, Giovani Loiola da ; Branco, Márcia D'Elia

    Source: Brazilian Journal of Probability and Statistics. Unidade: IME

    Assunto: INFERÊNCIA BAYESIANA

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    • ABNT

      PAULINO, Carlos Daniel e SILVA, Giovani Loiola da e BRANCO, Márcia D'Elia. A fully Bayesian parametric approach for cytogenetic dosimetry. Brazilian Journal of Probability and Statistics, v. 27, n. 1, p. 70-83, 2013Tradução . . Disponível em: https://doi.org/10.1214/11-BJPS152. Acesso em: 12 out. 2024.

    • APA

      Paulino, C. D., Silva, G. L. da, & Branco, M. D. 'E. (2013). A fully Bayesian parametric approach for cytogenetic dosimetry. Brazilian Journal of Probability and Statistics, 27( 1), 70-83. doi:10.1214/11-BJPS152

    • NLM

      Paulino CD, Silva GL da, Branco MD'E. A fully Bayesian parametric approach for cytogenetic dosimetry [Internet]. Brazilian Journal of Probability and Statistics. 2013 ; 27( 1): 70-83.[citado 2024 out. 12 ] Available from: https://doi.org/10.1214/11-BJPS152

    • Vancouver

      Paulino CD, Silva GL da, Branco MD'E. A fully Bayesian parametric approach for cytogenetic dosimetry [Internet]. Brazilian Journal of Probability and Statistics. 2013 ; 27( 1): 70-83.[citado 2024 out. 12 ] Available from: https://doi.org/10.1214/11-BJPS152

  • Relatorio tecnico

    A fully bayesian parametric approach for cytogenetic dosimetry (2010)

    Paulino, Carlos Daniel ; Silva, Giovani Loiola da ; Branco, Marcia D'Elia

    Unidade: IME

    Subjects: INFERÊNCIA BAYESIANA, MODELOS LINEARES GENERALIZADOS

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    • ABNT

      PAULINO, Carlos Daniel e SILVA, Giovani Loiola da e BRANCO, Marcia D'Elia. A fully bayesian parametric approach for cytogenetic dosimetry. . São Paulo: IME-USP. Disponível em: https://repositorio.usp.br/directbitstream/f115df9a-f65b-4d56-908f-be61fff239d5/2145757.pdf. Acesso em: 12 out. 2024. , 2010

    • APA

      Paulino, C. D., Silva, G. L. da, & Branco, M. D. 'E. (2010). A fully bayesian parametric approach for cytogenetic dosimetry. São Paulo: IME-USP. Recuperado de https://repositorio.usp.br/directbitstream/f115df9a-f65b-4d56-908f-be61fff239d5/2145757.pdf

    • NLM

      Paulino CD, Silva GL da, Branco MD'E. A fully bayesian parametric approach for cytogenetic dosimetry [Internet]. 2010 ;[citado 2024 out. 12 ] Available from: https://repositorio.usp.br/directbitstream/f115df9a-f65b-4d56-908f-be61fff239d5/2145757.pdf

    • Vancouver

      Paulino CD, Silva GL da, Branco MD'E. A fully bayesian parametric approach for cytogenetic dosimetry [Internet]. 2010 ;[citado 2024 out. 12 ] Available from: https://repositorio.usp.br/directbitstream/f115df9a-f65b-4d56-908f-be61fff239d5/2145757.pdf
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