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Filtros : "Brazilian Journal of Probability and Statistics" "2016" Limpar

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  • Artigo de periodico

    Wavelet shrinkage for regression models with random design and correlated errors (2016)

    Porto, Rogério; Morettin, Pedro Alberto ; Percival, Donald; Aubin, Elisete

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

    Subjects: ESTATÍSTICA, INFERÊNCIA NÃO PARAMÉTRICA

    Acesso à fonteDOIHow to cite
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    • ABNT

      PORTO, Rogério et al. Wavelet shrinkage for regression models with random design and correlated errors. Brazilian Journal of Probability and Statistics, v. 30, n. 4, p. 614-652, 2016Tradução . . Disponível em: https://doi.org/10.1214/15-bjps296. Acesso em: 10 nov. 2025.

    • APA

      Porto, R., Morettin, P. A., Percival, D., & Aubin, E. (2016). Wavelet shrinkage for regression models with random design and correlated errors. Brazilian Journal of Probability and Statistics, 30( 4), 614-652. doi:10.1214/15-bjps296

    • NLM

      Porto R, Morettin PA, Percival D, Aubin E. Wavelet shrinkage for regression models with random design and correlated errors [Internet]. Brazilian Journal of Probability and Statistics. 2016 ; 30( 4): 614-652.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1214/15-bjps296

    • Vancouver

      Porto R, Morettin PA, Percival D, Aubin E. Wavelet shrinkage for regression models with random design and correlated errors [Internet]. Brazilian Journal of Probability and Statistics. 2016 ; 30( 4): 614-652.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1214/15-bjps296

  • Artigo de periodico

    Adaptative significance levels using optimal decision rules: balancing by weighting the error (2016)

    Pericchi, Luis Raul; Pereira, Carlos Alberto de Bragança

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

    Subjects: TESTES DE HIPÓTESES, INFERÊNCIA BAYESIANA

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    • ABNT

      PERICCHI, Luis Raul e PEREIRA, Carlos Alberto de Bragança. Adaptative significance levels using optimal decision rules: balancing by weighting the error. Brazilian Journal of Probability and Statistics, v. 30, n. 1, p. 70-90, 2016Tradução . . Disponível em: https://doi.org/10.1214/14-BJPS257. Acesso em: 10 nov. 2025.

    • APA

      Pericchi, L. R., & Pereira, C. A. de B. (2016). Adaptative significance levels using optimal decision rules: balancing by weighting the error. Brazilian Journal of Probability and Statistics, 30( 1), 70-90. doi:10.1214/14-BJPS257

    • NLM

      Pericchi LR, Pereira CA de B. Adaptative significance levels using optimal decision rules: balancing by weighting the error [Internet]. Brazilian Journal of Probability and Statistics. 2016 ; 30( 1): 70-90.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1214/14-BJPS257

    • Vancouver

      Pericchi LR, Pereira CA de B. Adaptative significance levels using optimal decision rules: balancing by weighting the error [Internet]. Brazilian Journal of Probability and Statistics. 2016 ; 30( 1): 70-90.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1214/14-BJPS257

  • Artigo de periodico

    Log-symmetric distributions: statistical properties and parameter estimation (2016)

    Vanegas, Luis Hernando; Paula, Gilberto Alvarenga

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

    Subjects: ANÁLISE MULTIVARIADA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO NÃO LINEAR

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    • ABNT

      VANEGAS, Luis Hernando e PAULA, Gilberto Alvarenga. Log-symmetric distributions: statistical properties and parameter estimation. Brazilian Journal of Probability and Statistics, v. 30, n. 2, p. 196-220, 2016Tradução . . Disponível em: https://doi.org/10.1214/14-BJPS272. Acesso em: 10 nov. 2025.

    • APA

      Vanegas, L. H., & Paula, G. A. (2016). Log-symmetric distributions: statistical properties and parameter estimation. Brazilian Journal of Probability and Statistics, 30( 2), 196-220. doi:10.1214/14-BJPS272

    • NLM

      Vanegas LH, Paula GA. Log-symmetric distributions: statistical properties and parameter estimation [Internet]. Brazilian Journal of Probability and Statistics. 2016 ; 30( 2): 196-220.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1214/14-BJPS272

    • Vancouver

      Vanegas LH, Paula GA. Log-symmetric distributions: statistical properties and parameter estimation [Internet]. Brazilian Journal of Probability and Statistics. 2016 ; 30( 2): 196-220.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1214/14-BJPS272

  • Artigo de periodico

    Likelihood-based inference for population size in a capture–recapture experiment with varying probabilities from occasion to occasion (2016)

    Salasar, Luis Ernesto Bueno; Leite, José Galvão; Louzada, Francisco

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

    Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA

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    • ABNT

      SALASAR, Luis Ernesto Bueno e LEITE, José Galvão e LOUZADA, Francisco. Likelihood-based inference for population size in a capture–recapture experiment with varying probabilities from occasion to occasion. Brazilian Journal of Probability and Statistics, v. 30, n. 1, p. 47-69, 2016Tradução . . Disponível em: https://doi.org/10.1214/14-BJPS255. Acesso em: 10 nov. 2025.

    • APA

      Salasar, L. E. B., Leite, J. G., & Louzada, F. (2016). Likelihood-based inference for population size in a capture–recapture experiment with varying probabilities from occasion to occasion. Brazilian Journal of Probability and Statistics, 30( 1), 47-69. doi:10.1214/14-BJPS255

    • NLM

      Salasar LEB, Leite JG, Louzada F. Likelihood-based inference for population size in a capture–recapture experiment with varying probabilities from occasion to occasion [Internet]. Brazilian Journal of Probability and Statistics. 2016 ; 30( 1): 47-69.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1214/14-BJPS255

    • Vancouver

      Salasar LEB, Leite JG, Louzada F. Likelihood-based inference for population size in a capture–recapture experiment with varying probabilities from occasion to occasion [Internet]. Brazilian Journal of Probability and Statistics. 2016 ; 30( 1): 47-69.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1214/14-BJPS255
  • 1

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