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

    Subjects: INFERÊNCIA ESTATÍSTICA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO

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      CARRASCO, Jalmar M. F e FERRARI, Sílvia Lopes de Paula e ARELLANO\2013VALLE, Reinaldo B. Multiplicative errors-in-variables beta regression. Brazilian Journal of Probability and Statistics, v. 37, n. 2, p. 249-262, 2023Tradução . . Disponível em: https://doi.org/10.1214/22-BJPS543. Acesso em: 16 nov. 2024.
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      Carrasco, J. M. F., Ferrari, S. L. de P., & Arellano\2013Valle, R. B. (2023). Multiplicative errors-in-variables beta regression. Brazilian Journal of Probability and Statistics, 37( 2), 249-262. doi:10.1214/22-BJPS543
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      Carrasco JMF, Ferrari SL de P, Arellano\2013Valle RB. Multiplicative errors-in-variables beta regression [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 2): 249-262.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1214/22-BJPS543
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      Carrasco JMF, Ferrari SL de P, Arellano\2013Valle RB. Multiplicative errors-in-variables beta regression [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 2): 249-262.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1214/22-BJPS543
  • Source: Brazilian Journal of Probability and Statistics. Unidades: FFLCH, IME

    Subjects: EVOLUÇÃO, PROCESSOS DE RAMIFICAÇÃO, MUTAÇÃO, PROBABILIDADE APLICADA

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      GREJO, Carolina Bueno et al. Evolution with mass extinction on Td+. Brazilian Journal of Probability and Statistics, v. 36, n. 4, p. 771-776, 2022Tradução . . Disponível em: https://doi.org/10.1214/22-BJPS554. Acesso em: 16 nov. 2024.
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      Grejo, C. B., Lopes, F. L., Machado, F. P., & Roldán-Correa, A. (2022). Evolution with mass extinction on Td+. Brazilian Journal of Probability and Statistics, 36( 4), 771-776. doi:10.1214/22-BJPS554
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      Grejo CB, Lopes FL, Machado FP, Roldán-Correa A. Evolution with mass extinction on Td+ [Internet]. Brazilian Journal of Probability and Statistics. 2022 ; 36( 4): 771-776.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1214/22-BJPS554
    • Vancouver

      Grejo CB, Lopes FL, Machado FP, Roldán-Correa A. Evolution with mass extinction on Td+ [Internet]. Brazilian Journal of Probability and Statistics. 2022 ; 36( 4): 771-776.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1214/22-BJPS554
  • Source: Journal of Mathematical Physics. Unidade: IME

    Subjects: MECÂNICA ESTATÍSTICA, MATERIAIS MAGNÉTICOS

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      FERNÁNDEZ, Roberto et al. Lack of phase transitions in staggered magnetic systems. A comparison of uniqueness criteria. Journal of Mathematical Physics, v. 62, n. artigo 103301, p. 1-13, 2021Tradução . . Disponível em: https://doi.org/10.1063/5.0020757. Acesso em: 16 nov. 2024.
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      Fernández, R., González-Navarrete, M., Pechersky, E., & Yambartsev, A. (2021). Lack of phase transitions in staggered magnetic systems. A comparison of uniqueness criteria. Journal of Mathematical Physics, 62( artigo 103301), 1-13. doi:10.1063/5.0020757
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      Fernández R, González-Navarrete M, Pechersky E, Yambartsev A. Lack of phase transitions in staggered magnetic systems. A comparison of uniqueness criteria [Internet]. Journal of Mathematical Physics. 2021 ; 62( artigo 103301): 1-13.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1063/5.0020757
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      Fernández R, González-Navarrete M, Pechersky E, Yambartsev A. Lack of phase transitions in staggered magnetic systems. A comparison of uniqueness criteria [Internet]. Journal of Mathematical Physics. 2021 ; 62( artigo 103301): 1-13.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1063/5.0020757
  • Source: Mathematics. Unidade: IME

    Subjects: REGRESSÃO LINEAR, BIOESTATÍSTICA, ASMA, ANÁLISE ESTATÍSTICA DE DADOS

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      TAPIA, Alejandra et al. Data-influence analytics in predictive models applied to asthma disease. Mathematics, v. 8, n. art. 1587, p. 1-19, 2020Tradução . . Disponível em: https://doi.org/10.3390/math8091587. Acesso em: 16 nov. 2024.
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      Tapia, A., Giampaoli, V., Leiva, V., & Lio, Y. (2020). Data-influence analytics in predictive models applied to asthma disease. Mathematics, 8( art. 1587), 1-19. doi:10.3390/math8091587
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      Tapia A, Giampaoli V, Leiva V, Lio Y. Data-influence analytics in predictive models applied to asthma disease [Internet]. Mathematics. 2020 ; 8( art. 1587): 1-19.[citado 2024 nov. 16 ] Available from: https://doi.org/10.3390/math8091587
    • Vancouver

      Tapia A, Giampaoli V, Leiva V, Lio Y. Data-influence analytics in predictive models applied to asthma disease [Internet]. Mathematics. 2020 ; 8( art. 1587): 1-19.[citado 2024 nov. 16 ] Available from: https://doi.org/10.3390/math8091587
  • Source: Statistical Papers. Unidade: IME

    Assunto: REGRESSÃO LINEAR

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      BORSSOI, Joelmir Andre e PAULA, Gilberto Alvarenga e GALEA, Manuel. Elliptical linear mixed models with a covariate subject to measurement error. Statistical Papers, v. 61, p. 31-69, 2020Tradução . . Disponível em: https://doi.org/10.1007/s00362-017-0921-9. Acesso em: 16 nov. 2024.
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      Borssoi, J. A., Paula, G. A., & Galea, M. (2020). Elliptical linear mixed models with a covariate subject to measurement error. Statistical Papers, 61, 31-69. doi:10.1007/s00362-017-0921-9
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      Borssoi JA, Paula GA, Galea M. Elliptical linear mixed models with a covariate subject to measurement error [Internet]. Statistical Papers. 2020 ; 61 31-69.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/s00362-017-0921-9
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      Borssoi JA, Paula GA, Galea M. Elliptical linear mixed models with a covariate subject to measurement error [Internet]. Statistical Papers. 2020 ; 61 31-69.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/s00362-017-0921-9
  • Source: Test. Unidade: IME

    Subjects: REGRESSÃO LINEAR, MODELOS LINEARES GENERALIZADOS

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      TAPIA, Alejandra et al. Influence diagnostics in mixed effects logistic regression models. Test, v. 28, n. 3, p. 920–942, 2019Tradução . . Disponível em: https://doi.org/10.1007/s11749-018-0613-3. Acesso em: 16 nov. 2024.
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      Tapia, A., Leiva, V., Diaz, M. del P., & Giampaoli, V. (2019). Influence diagnostics in mixed effects logistic regression models. Test, 28( 3), 920–942. doi:10.1007/s11749-018-0613-3
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      Tapia A, Leiva V, Diaz M del P, Giampaoli V. Influence diagnostics in mixed effects logistic regression models [Internet]. Test. 2019 ; 28( 3): 920–942.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/s11749-018-0613-3
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      Tapia A, Leiva V, Diaz M del P, Giampaoli V. Influence diagnostics in mixed effects logistic regression models [Internet]. Test. 2019 ; 28( 3): 920–942.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/s11749-018-0613-3
  • Source: Statistics and Its Interface. Unidade: IME

    Assunto: ESTATÍSTICA APLICADA

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      GALLARDO, Diego I. et al. Destructive power series long-term survival model with complex activation schemes. Statistics and Its Interface, v. 12, n. 4, p. 561-571, 2019Tradução . . Disponível em: https://doi.org/10.4310/sii.2019.v12.n4.a6. Acesso em: 16 nov. 2024.
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      Gallardo, D. I., Bolfarine, H., Lima, A. C. P. de, & Romeo, J. S. (2019). Destructive power series long-term survival model with complex activation schemes. Statistics and Its Interface, 12( 4), 561-571. doi:10.4310/sii.2019.v12.n4.a6
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      Gallardo DI, Bolfarine H, Lima ACP de, Romeo JS. Destructive power series long-term survival model with complex activation schemes [Internet]. Statistics and Its Interface. 2019 ; 12( 4): 561-571.[citado 2024 nov. 16 ] Available from: https://doi.org/10.4310/sii.2019.v12.n4.a6
    • Vancouver

      Gallardo DI, Bolfarine H, Lima ACP de, Romeo JS. Destructive power series long-term survival model with complex activation schemes [Internet]. Statistics and Its Interface. 2019 ; 12( 4): 561-571.[citado 2024 nov. 16 ] Available from: https://doi.org/10.4310/sii.2019.v12.n4.a6
  • Source: Journal of Applied Statistics. Unidade: IME

    Subjects: MÉTODO DE MONTE CARLO, PROCESSOS DE POISSON, BIOESTATÍSTICA

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      SILVA, Alejandra Andrea Tapia et al. Sensitivity analysis of longitudinal count responses: a local influence approach and application to medical data. Journal of Applied Statistics, v. 46, n. 6, p. 1021-1042, 2019Tradução . . Disponível em: https://doi.org/10.1080/02664763.2018.1531978. Acesso em: 16 nov. 2024.
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      Silva, A. A. T., Giampaoli, V., Diaz, M. del P., & Leiva-Sanchez, V. (2019). Sensitivity analysis of longitudinal count responses: a local influence approach and application to medical data. Journal of Applied Statistics, 46( 6), 1021-1042. doi:10.1080/02664763.2018.1531978
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      Silva AAT, Giampaoli V, Diaz M del P, Leiva-Sanchez V. Sensitivity analysis of longitudinal count responses: a local influence approach and application to medical data [Internet]. Journal of Applied Statistics. 2019 ; 46( 6): 1021-1042.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1080/02664763.2018.1531978
    • Vancouver

      Silva AAT, Giampaoli V, Diaz M del P, Leiva-Sanchez V. Sensitivity analysis of longitudinal count responses: a local influence approach and application to medical data [Internet]. Journal of Applied Statistics. 2019 ; 46( 6): 1021-1042.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1080/02664763.2018.1531978
  • Source: Pakistan Journal of Statistics. Unidade: IME

    Subjects: ANÁLISE DE SOBREVIVÊNCIA, PROBABILIDADE

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      GALLARDO, Diego I e BOLFARINE, Heleno e LIMA, Antonio Carlos Pedroso de. Long-term survivor model with alternative links in the cure. Pakistan Journal of Statistics, v. 34, n. 6, p. 459-478, 2018Tradução . . Disponível em: http://www.pakjs.com/journals/34(6)/34(6)02.pdf. Acesso em: 16 nov. 2024.
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      Gallardo, D. I., Bolfarine, H., & Lima, A. C. P. de. (2018). Long-term survivor model with alternative links in the cure. Pakistan Journal of Statistics, 34( 6), 459-478. Recuperado de http://www.pakjs.com/journals/34(6)/34(6)02.pdf
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      Gallardo DI, Bolfarine H, Lima ACP de. Long-term survivor model with alternative links in the cure [Internet]. Pakistan Journal of Statistics. 2018 ; 34( 6): 459-478.[citado 2024 nov. 16 ] Available from: http://www.pakjs.com/journals/34(6)/34(6)02.pdf
    • Vancouver

      Gallardo DI, Bolfarine H, Lima ACP de. Long-term survivor model with alternative links in the cure [Internet]. Pakistan Journal of Statistics. 2018 ; 34( 6): 459-478.[citado 2024 nov. 16 ] Available from: http://www.pakjs.com/journals/34(6)/34(6)02.pdf
  • Source: Brazilian Journal of Probability and Statistics. Unidade: IME

    Assunto: INFERÊNCIA BAYESIANA

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      FIGUEROA-ZÚÑIGA, Jorge et al. A Bayesian approach to errors-in-variables beta regression. Brazilian Journal of Probability and Statistics, v. 32, n. 3, p. 559-582, 2018Tradução . . Disponível em: https://doi.org/10.1214/17-bjps354. Acesso em: 16 nov. 2024.
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      Figueroa-Zúñiga, J., Carrasco, J. M. F., Arellano-Valle, R. B., & Ferrari, S. L. de P. (2018). A Bayesian approach to errors-in-variables beta regression. Brazilian Journal of Probability and Statistics, 32( 3), 559-582. doi:10.1214/17-bjps354
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      Figueroa-Zúñiga J, Carrasco JMF, Arellano-Valle RB, Ferrari SL de P. A Bayesian approach to errors-in-variables beta regression [Internet]. Brazilian Journal of Probability and Statistics. 2018 ; 32( 3): 559-582.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1214/17-bjps354
    • Vancouver

      Figueroa-Zúñiga J, Carrasco JMF, Arellano-Valle RB, Ferrari SL de P. A Bayesian approach to errors-in-variables beta regression [Internet]. Brazilian Journal of Probability and Statistics. 2018 ; 32( 3): 559-582.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1214/17-bjps354
  • Source: Fisheries Research. Unidade: IME

    Subjects: ANÁLISE DE SÉRIES TEMPORAIS, MODELOS EM SÉRIES TEMPORAIS, INFERÊNCIA BAYESIANA, MÉTODO DE MONTE CARLO, CAMARÃO

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      MONTENEGRO, Carlos e BRANCO, Marcia D'Elia. Bayesian state-space approach to biomass dynamic models with skewed and heavy-tailed error distributions. Fisheries Research, v. 181, p. 48-62, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.fishres.2016.03.021. Acesso em: 16 nov. 2024.
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      Montenegro, C., & Branco, M. D. 'E. (2016). Bayesian state-space approach to biomass dynamic models with skewed and heavy-tailed error distributions. Fisheries Research, 181, 48-62. doi:10.1016/j.fishres.2016.03.021
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      Montenegro C, Branco MD'E. Bayesian state-space approach to biomass dynamic models with skewed and heavy-tailed error distributions [Internet]. Fisheries Research. 2016 ; 181 48-62.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1016/j.fishres.2016.03.021
    • Vancouver

      Montenegro C, Branco MD'E. Bayesian state-space approach to biomass dynamic models with skewed and heavy-tailed error distributions [Internet]. Fisheries Research. 2016 ; 181 48-62.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1016/j.fishres.2016.03.021
  • Source: Entropy. Unidade: IME

    Subjects: LÓGICA FUZZY, INFERÊNCIA ESTATÍSTICA

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      GONZÁLEZ, José Alejandro et al. A confidence set analysis for observed samples: a fuzzy set approach. Entropy, v. 18, n. article º 211, p. 22 , 2016Tradução . . Disponível em: https://doi.org/10.3390/e18060211. Acesso em: 16 nov. 2024.
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      González, J. A., Castro, L. M., Lachos, V. H., & Patriota, A. G. (2016). A confidence set analysis for observed samples: a fuzzy set approach. Entropy, 18( article º 211), 22 . doi:10.3390/e18060211
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      González JA, Castro LM, Lachos VH, Patriota AG. A confidence set analysis for observed samples: a fuzzy set approach [Internet]. Entropy. 2016 ; 18( article º 211): 22 .[citado 2024 nov. 16 ] Available from: https://doi.org/10.3390/e18060211
    • Vancouver

      González JA, Castro LM, Lachos VH, Patriota AG. A confidence set analysis for observed samples: a fuzzy set approach [Internet]. Entropy. 2016 ; 18( article º 211): 22 .[citado 2024 nov. 16 ] Available from: https://doi.org/10.3390/e18060211
  • Source: Markov Processes and Related Fields. Unidade: IME

    Subjects: PASSEIOS ALEATÓRIOS, TEOREMAS LIMITES, PROCESSOS ESTOCÁSTICOS

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      HART, A e MACHADO, Fábio Prates e MATZINGER, Heinrich. Information recovery from observations by a random walk having jump distribution with exponential tails. Markov Processes and Related Fields, v. 21, n. 4, p. 939-970, 2015Tradução . . Acesso em: 16 nov. 2024.
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      Hart, A., Machado, F. P., & Matzinger, H. (2015). Information recovery from observations by a random walk having jump distribution with exponential tails. Markov Processes and Related Fields, 21( 4), 939-970.
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      Hart A, Machado FP, Matzinger H. Information recovery from observations by a random walk having jump distribution with exponential tails. Markov Processes and Related Fields. 2015 ; 21( 4): 939-970.[citado 2024 nov. 16 ]
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      Hart A, Machado FP, Matzinger H. Information recovery from observations by a random walk having jump distribution with exponential tails. Markov Processes and Related Fields. 2015 ; 21( 4): 939-970.[citado 2024 nov. 16 ]
  • Source: Metrika. Unidade: IME

    Assunto: PROCESSOS ESTOCÁSTICOS

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      ROMEO, José S et al. Large sample properties for a class of copulas in bivariate survival analysis. Metrika, v. 76, n. 8, p. 997-1015, 2013Tradução . . Disponível em: https://doi.org/10.1007/s00184-012-0428-2. Acesso em: 16 nov. 2024.
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      Romeo, J. S., Tanaka, N. I., Lima, A. C. P. de, & Salinas-Torres, V. H. (2013). Large sample properties for a class of copulas in bivariate survival analysis. Metrika, 76( 8), 997-1015. doi:10.1007/s00184-012-0428-2
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      Romeo JS, Tanaka NI, Lima ACP de, Salinas-Torres VH. Large sample properties for a class of copulas in bivariate survival analysis [Internet]. Metrika. 2013 ; 76( 8): 997-1015.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/s00184-012-0428-2
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      Romeo JS, Tanaka NI, Lima ACP de, Salinas-Torres VH. Large sample properties for a class of copulas in bivariate survival analysis [Internet]. Metrika. 2013 ; 76( 8): 997-1015.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/s00184-012-0428-2
  • Source: Computational Statistics & Data Analysis. Unidades: ESALQ, IME

    Assunto: MODELOS LINEARES GENERALIZADOS

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      VILLEGAS LOBOS, Cristian Marcelo et al. Influence diagnostics in generalized symmetric linear models. Computational Statistics & Data Analysis, v. 59, p. 161-170, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.csda.2012.10.012. Acesso em: 16 nov. 2024.
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      Villegas Lobos, C. M., Paula, G. A., Cysneiros, F. J. A., & Galea, M. (2013). Influence diagnostics in generalized symmetric linear models. Computational Statistics & Data Analysis, 59, 161-170. doi:10.1016/j.csda.2012.10.012
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      Villegas Lobos CM, Paula GA, Cysneiros FJA, Galea M. Influence diagnostics in generalized symmetric linear models [Internet]. Computational Statistics & Data Analysis. 2013 ; 59 161-170.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1016/j.csda.2012.10.012
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      Villegas Lobos CM, Paula GA, Cysneiros FJA, Galea M. Influence diagnostics in generalized symmetric linear models [Internet]. Computational Statistics & Data Analysis. 2013 ; 59 161-170.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1016/j.csda.2012.10.012
  • Source: Bulletin of the World Health Organization. Unidade: IME

    Assunto: DOENÇAS RESPIRATÓRIAS

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      MARINHO DE SOUZA, maria de Fátima et al. Trends in mortality from respiratory disease in Latin America since 1998 and the impact of the 2009 influenza pandemic. Bulletin of the World Health Organization, v. 91, p. 525-532, 2013Tradução . . Disponível em: https://doi.org/10.2471/BLT.12.116871. Acesso em: 16 nov. 2024.
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      Marinho de Souza, maria de F., Widdowson, M. -A., Alencar, A. P., Gawrysewski, V. P., Aziz-Baumgartner, E., Palekar, R., et al. (2013). Trends in mortality from respiratory disease in Latin America since 1998 and the impact of the 2009 influenza pandemic. Bulletin of the World Health Organization, 91, 525-532. doi:10.2471/BLT.12.116871
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      Marinho de Souza maria de F, Widdowson M-A, Alencar AP, Gawrysewski VP, Aziz-Baumgartner E, Palekar R, Breese J, Cheng P-Y, Barbosa J, Cabrera AM, Olea A, Flores AB, Shay DK, Mounts A, Oliva OP. Trends in mortality from respiratory disease in Latin America since 1998 and the impact of the 2009 influenza pandemic [Internet]. Bulletin of the World Health Organization. 2013 ; 91 525-532.[citado 2024 nov. 16 ] Available from: https://doi.org/10.2471/BLT.12.116871
    • Vancouver

      Marinho de Souza maria de F, Widdowson M-A, Alencar AP, Gawrysewski VP, Aziz-Baumgartner E, Palekar R, Breese J, Cheng P-Y, Barbosa J, Cabrera AM, Olea A, Flores AB, Shay DK, Mounts A, Oliva OP. Trends in mortality from respiratory disease in Latin America since 1998 and the impact of the 2009 influenza pandemic [Internet]. Bulletin of the World Health Organization. 2013 ; 91 525-532.[citado 2024 nov. 16 ] Available from: https://doi.org/10.2471/BLT.12.116871
  • Source: Biopharmaceutics & Drug Disposition. Unidades: IME, FCF

    Subjects: BIODISPONIBILIDADE, FARMACOCINÉTICA

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      GONÇALVES, José Eduardo et al. Effect of pH, mucin and bovine serum on rifampicin permeability through Caco-2 cells. Biopharmaceutics & Drug Disposition, v. 33, n. 6, p. 316-323, 2012Tradução . . Disponível em: https://doi.org/10.1002/bdd.1802. Acesso em: 16 nov. 2024.
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      Gonçalves, J. E., Fernandes, M. B., Chiann, C., Gai, M. N., Souza, J. de, & Storpirtis, S. (2012). Effect of pH, mucin and bovine serum on rifampicin permeability through Caco-2 cells. Biopharmaceutics & Drug Disposition, 33( 6), 316-323. doi:10.1002/bdd.1802
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      Gonçalves JE, Fernandes MB, Chiann C, Gai MN, Souza J de, Storpirtis S. Effect of pH, mucin and bovine serum on rifampicin permeability through Caco-2 cells [Internet]. Biopharmaceutics & Drug Disposition. 2012 ; 33( 6): 316-323.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1002/bdd.1802
    • Vancouver

      Gonçalves JE, Fernandes MB, Chiann C, Gai MN, Souza J de, Storpirtis S. Effect of pH, mucin and bovine serum on rifampicin permeability through Caco-2 cells [Internet]. Biopharmaceutics & Drug Disposition. 2012 ; 33( 6): 316-323.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1002/bdd.1802
  • Source: Communications in Statistics: Theory and Methods. Unidade: IME

    Assunto: DISTRIBUIÇÃO ELÍPTICA

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      PLIVARES-PACHECO, Juan F et al. An asymmetric extension for the family of elliptical slash distributions. Communications in Statistics: Theory and Methods, v. 41, n. 6, p. 1000-1012, 2012Tradução . . Disponível em: https://doi.org/10.1080/03610926.2010.533229. Acesso em: 16 nov. 2024.
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      Plivares-Pacheco, J. F., Salas, E., Gomez, H. W., & Bolfarine, H. (2012). An asymmetric extension for the family of elliptical slash distributions. Communications in Statistics: Theory and Methods, 41( 6), 1000-1012. doi:10.1080/03610926.2010.533229
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      Plivares-Pacheco JF, Salas E, Gomez HW, Bolfarine H. An asymmetric extension for the family of elliptical slash distributions [Internet]. Communications in Statistics: Theory and Methods. 2012 ; 41( 6): 1000-1012.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1080/03610926.2010.533229
    • Vancouver

      Plivares-Pacheco JF, Salas E, Gomez HW, Bolfarine H. An asymmetric extension for the family of elliptical slash distributions [Internet]. Communications in Statistics: Theory and Methods. 2012 ; 41( 6): 1000-1012.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1080/03610926.2010.533229
  • Source: Communications in Statistics. Theory and Methods. Unidade: IME

    Assunto: DISTRIBUIÇÕES (PROBABILIDADE)

    Acesso à fonteDOIHow to cite
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    • ABNT

      ARRUE, Jaime et al. On the Skew-normal-Cauchy distribution. Communications in Statistics. Theory and Methods, v. 40, n. 1, p. 15-27, 2011Tradução . . Disponível em: https://doi.org/10.1080/03610920903350549. Acesso em: 16 nov. 2024.
    • APA

      Arrue, J., Gomez, H. W., Varela, H., & Bolfarine, H. (2011). On the Skew-normal-Cauchy distribution. Communications in Statistics. Theory and Methods, 40( 1), 15-27. doi:10.1080/03610920903350549
    • NLM

      Arrue J, Gomez HW, Varela H, Bolfarine H. On the Skew-normal-Cauchy distribution [Internet]. Communications in Statistics. Theory and Methods. 2011 ; 40( 1): 15-27.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1080/03610920903350549
    • Vancouver

      Arrue J, Gomez HW, Varela H, Bolfarine H. On the Skew-normal-Cauchy distribution [Internet]. Communications in Statistics. Theory and Methods. 2011 ; 40( 1): 15-27.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1080/03610920903350549
  • Source: Brazilian Journal of Probability and Statistics. Unidade: IME

    Assunto: ANÁLISE DE SÉRIES TEMPORAIS

    Acesso à fonteDOIHow to cite
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    • ABNT

      LAGOS, Bernardo M. e MORETTIN, Pedro Alberto e BARROSO, Lucia Pereira. Some corrections of the score test statistic for Gaussian ARMA models. Brazilian Journal of Probability and Statistics, v. 24, n. 3, p. 434-456, 2010Tradução . . Disponível em: https://doi.org/10.1214/09-BJPS023. Acesso em: 16 nov. 2024.
    • APA

      lagos, B. M., Morettin, P. A., & Barroso, L. P. (2010). Some corrections of the score test statistic for Gaussian ARMA models. Brazilian Journal of Probability and Statistics, 24( 3), 434-456. doi:10.1214/09-BJPS023
    • NLM

      lagos BM, Morettin PA, Barroso LP. Some corrections of the score test statistic for Gaussian ARMA models [Internet]. Brazilian Journal of Probability and Statistics. 2010 ; 24( 3): 434-456.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1214/09-BJPS023
    • Vancouver

      lagos BM, Morettin PA, Barroso LP. Some corrections of the score test statistic for Gaussian ARMA models [Internet]. Brazilian Journal of Probability and Statistics. 2010 ; 24( 3): 434-456.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1214/09-BJPS023

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