Filtros : "MODELOS PARA PROCESSOS ESTOCÁSTICOS" "International Journal of Clinical Biostatistics and Biometrics" Limpar

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  • Fonte: International Journal of Clinical Biostatistics and Biometrics. Unidade: FMRP

    Assuntos: MÉTODOS MCMC, REGRESSÃO LINEAR, MODELOS PARA PROCESSOS ESTOCÁSTICOS

    Acesso à fonteDOIComo citar
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    • ABNT

      ACHCAR, Jorge Alberto e OLIVEIRA, Ricardo Puziol de e BARILI, Emerson. The incidence of tuberculosis in Brazil from 2001 to 2018: use of polynomial regression combined with a stochastic volatility model. International Journal of Clinical Biostatistics and Biometrics, v. 7, n. 1, 2021Tradução . . Disponível em: https://doi.org/10.23937/2469-5831/1510035. Acesso em: 10 nov. 2025.
    • APA

      Achcar, J. A., Oliveira, R. P. de, & Barili, E. (2021). The incidence of tuberculosis in Brazil from 2001 to 2018: use of polynomial regression combined with a stochastic volatility model. International Journal of Clinical Biostatistics and Biometrics, 7( 1). doi:10.23937/2469-5831/1510035
    • NLM

      Achcar JA, Oliveira RP de, Barili E. The incidence of tuberculosis in Brazil from 2001 to 2018: use of polynomial regression combined with a stochastic volatility model [Internet]. International Journal of Clinical Biostatistics and Biometrics. 2021 ; 7( 1):[citado 2025 nov. 10 ] Available from: https://doi.org/10.23937/2469-5831/1510035
    • Vancouver

      Achcar JA, Oliveira RP de, Barili E. The incidence of tuberculosis in Brazil from 2001 to 2018: use of polynomial regression combined with a stochastic volatility model [Internet]. International Journal of Clinical Biostatistics and Biometrics. 2021 ; 7( 1):[citado 2025 nov. 10 ] Available from: https://doi.org/10.23937/2469-5831/1510035

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