Filtros : "ESTATÍSTICA" "Reino Unido" Removido: "Martins, Gilberto de Andrade" Limpar

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  • Source: New Journal of Physics. Unidade: IF

    Assunto: ESTATÍSTICA

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      MAMEDE, Iago Nascimento et al. Work statistics at first-passage times. New Journal of Physics, v. 26, 2024Tradução . . Acesso em: 11 out. 2024.
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      Mamede, I. N., Singh, P., Pal, A., Fiore, C. E., & Proesmans, K. (2024). Work statistics at first-passage times. New Journal of Physics, 26. doi:10.1088/1367-2630/ad313d
    • NLM

      Mamede IN, Singh P, Pal A, Fiore CE, Proesmans K. Work statistics at first-passage times. New Journal of Physics. 2024 ; 26[citado 2024 out. 11 ]
    • Vancouver

      Mamede IN, Singh P, Pal A, Fiore CE, Proesmans K. Work statistics at first-passage times. New Journal of Physics. 2024 ; 26[citado 2024 out. 11 ]
  • Source: Machine Learning: Science and Technology. Unidades: IF, IME

    Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE DADOS, ESTATÍSTICA

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      RODRIGUES, Natália Villa Nova e ABRAMO, L. Raul e HIRATA, Nina Sumiko Tomita. The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data. Machine Learning: Science and Technology, v. 4, n. artigo 045019, p. 1-26, 2023Tradução . . Disponível em: https://doi.org/10.1088/2632-2153/ad0285. Acesso em: 11 out. 2024.
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      Rodrigues, N. V. N., Abramo, L. R., & Hirata, N. S. T. (2023). The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data. Machine Learning: Science and Technology, 4( artigo 045019), 1-26. doi:10.1088/2632-2153/ad0285
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      Rodrigues NVN, Abramo LR, Hirata NST. The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data [Internet]. Machine Learning: Science and Technology. 2023 ; 4( artigo 045019): 1-26.[citado 2024 out. 11 ] Available from: https://doi.org/10.1088/2632-2153/ad0285
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      Rodrigues NVN, Abramo LR, Hirata NST. The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data [Internet]. Machine Learning: Science and Technology. 2023 ; 4( artigo 045019): 1-26.[citado 2024 out. 11 ] Available from: https://doi.org/10.1088/2632-2153/ad0285
  • Source: Hydrological Sciences Journal. Unidade: EESC

    Subjects: PROBABILIDADE, ESTATÍSTICA, PRECIPITAÇÃO ATMOSFÉRICA, ENGENHARIA HIDRÁULICA

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      BALLARIN, André Simões et al. Combined predictive and descriptive tests for extreme rainfall probability distribution selection. Hydrological Sciences Journal, v. 67, n. 7, p. 1130-1140, 2022Tradução . . Disponível em: https://doi.org/10.1080/02626667.2022.2063725. Acesso em: 11 out. 2024.
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      Ballarin, A. S., Calixto, K. G., Anache, J. A. A., & Wendland, E. C. (2022). Combined predictive and descriptive tests for extreme rainfall probability distribution selection. Hydrological Sciences Journal, 67( 7), 1130-1140. doi:10.1080/02626667.2022.2063725
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      Ballarin AS, Calixto KG, Anache JAA, Wendland EC. Combined predictive and descriptive tests for extreme rainfall probability distribution selection [Internet]. Hydrological Sciences Journal. 2022 ; 67( 7): 1130-1140.[citado 2024 out. 11 ] Available from: https://doi.org/10.1080/02626667.2022.2063725
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      Ballarin AS, Calixto KG, Anache JAA, Wendland EC. Combined predictive and descriptive tests for extreme rainfall probability distribution selection [Internet]. Hydrological Sciences Journal. 2022 ; 67( 7): 1130-1140.[citado 2024 out. 11 ] Available from: https://doi.org/10.1080/02626667.2022.2063725
  • Source: International Statistical Review. Unidades: ICMC, IME

    Assunto: ESTATÍSTICA

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      RUGGERI, Fabrizio et al. 2021 International Statistical Institute Mahalanobis Award: a tribute to Heleno Bolfarine. International Statistical Review, v. 89, n. 3, p. 435-446, 2021Tradução . . Disponível em: https://doi.org/10.1111/insr.12472. Acesso em: 11 out. 2024.
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      Ruggeri, F., Bolfarine, H., Bazán Guzmán, J. L., Arellano-Valle, R. B., Dávila, V. H. L., & Castro, M. de. (2021). 2021 International Statistical Institute Mahalanobis Award: a tribute to Heleno Bolfarine. International Statistical Review, 89( 3), 435-446. doi:10.1111/insr.12472
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      Ruggeri F, Bolfarine H, Bazán Guzmán JL, Arellano-Valle RB, Dávila VHL, Castro M de. 2021 International Statistical Institute Mahalanobis Award: a tribute to Heleno Bolfarine [Internet]. International Statistical Review. 2021 ; 89( 3): 435-446.[citado 2024 out. 11 ] Available from: https://doi.org/10.1111/insr.12472
    • Vancouver

      Ruggeri F, Bolfarine H, Bazán Guzmán JL, Arellano-Valle RB, Dávila VHL, Castro M de. 2021 International Statistical Institute Mahalanobis Award: a tribute to Heleno Bolfarine [Internet]. International Statistical Review. 2021 ; 89( 3): 435-446.[citado 2024 out. 11 ] Available from: https://doi.org/10.1111/insr.12472
  • Source: PeerJ. Unidade: IB

    Subjects: ECOLOGIA, ESTATÍSTICA, ANÁLISE DE DADOS

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      CASTILHO​, Leonardo Braga e PRADO, Paulo Inácio. Towards a pragmatic use of statistics in ecology. PeerJ, v. 9, 2021Tradução . . Disponível em: https://doi.org/10.7717/peerj.12090. Acesso em: 11 out. 2024.
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      Castilho​, L. B., & Prado, P. I. (2021). Towards a pragmatic use of statistics in ecology. PeerJ, 9. doi:10.7717/peerj.12090
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      Castilho​ LB, Prado PI. Towards a pragmatic use of statistics in ecology [Internet]. PeerJ. 2021 ; 9[citado 2024 out. 11 ] Available from: https://doi.org/10.7717/peerj.12090
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      Castilho​ LB, Prado PI. Towards a pragmatic use of statistics in ecology [Internet]. PeerJ. 2021 ; 9[citado 2024 out. 11 ] Available from: https://doi.org/10.7717/peerj.12090
  • Source: Journal of Statistical Computation and Simulation. Unidade: EP

    Subjects: GRÁFICOS, ESTATÍSTICA

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      QUININO, Roberto da Costa et al. A control chart to monitor the process mean based on inspecting attributes using control limits of the traditional X-bar chart. Journal of Statistical Computation and Simulation, v. 90, n. 9, p. 1639-1660, 2020Tradução . . Disponível em: https://doi.org/10.1080/00949655.2020.1741588. Acesso em: 11 out. 2024.
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      Quinino, R. da C., Ho, L. L., Cruz, F. R. B. da, & Bessegato, L. F. (2020). A control chart to monitor the process mean based on inspecting attributes using control limits of the traditional X-bar chart. Journal of Statistical Computation and Simulation, 90( 9), 1639-1660. doi:10.1080/00949655.2020.1741588
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      Quinino R da C, Ho LL, Cruz FRB da, Bessegato LF. A control chart to monitor the process mean based on inspecting attributes using control limits of the traditional X-bar chart [Internet]. Journal of Statistical Computation and Simulation. 2020 ; 90( 9): 1639-1660.[citado 2024 out. 11 ] Available from: https://doi.org/10.1080/00949655.2020.1741588
    • Vancouver

      Quinino R da C, Ho LL, Cruz FRB da, Bessegato LF. A control chart to monitor the process mean based on inspecting attributes using control limits of the traditional X-bar chart [Internet]. Journal of Statistical Computation and Simulation. 2020 ; 90( 9): 1639-1660.[citado 2024 out. 11 ] Available from: https://doi.org/10.1080/00949655.2020.1741588
  • Source: Geophysical Journal International. Unidade: IAG

    Subjects: PALEOMAGNETISMO, GEOMAGNETISMO, ESTATÍSTICA

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      BRANDT, Daniele e CONSTABLE, Catherine e ERNESTO, Márcia. Giant Gaussian process models of geomagnetic palaeosecular variation: a directional outlook. Geophysical Journal International, v. 222, n. 3, p. 1526-1541, 2020Tradução . . Disponível em: https://doi.org/10.1093/gji/ggaa258. Acesso em: 11 out. 2024.
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      Brandt, D., Constable, C., & Ernesto, M. (2020). Giant Gaussian process models of geomagnetic palaeosecular variation: a directional outlook. Geophysical Journal International, 222( 3), 1526-1541. doi:10.1093/gji/ggaa258
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      Brandt D, Constable C, Ernesto M. Giant Gaussian process models of geomagnetic palaeosecular variation: a directional outlook [Internet]. Geophysical Journal International. 2020 ; 222( 3): 1526-1541.[citado 2024 out. 11 ] Available from: https://doi.org/10.1093/gji/ggaa258
    • Vancouver

      Brandt D, Constable C, Ernesto M. Giant Gaussian process models of geomagnetic palaeosecular variation: a directional outlook [Internet]. Geophysical Journal International. 2020 ; 222( 3): 1526-1541.[citado 2024 out. 11 ] Available from: https://doi.org/10.1093/gji/ggaa258
  • Source: Journal of Applied Statistics. Unidade: IME

    Assunto: ESTATÍSTICA

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      GÓMEZ, Yolanda M et al. The Rayleigh–Lindley model: properties and applications. Journal of Applied Statistics, v. 46, n. 1, p. 141-163, 2019Tradução . . Disponível em: https://doi.org/10.1080/02664763.2018.1458825. Acesso em: 11 out. 2024.
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      Gómez, Y. M., Gallardo, D. I., Iriarte, Y., & Bolfarine, H. (2019). The Rayleigh–Lindley model: properties and applications. Journal of Applied Statistics, 46( 1), 141-163. doi:10.1080/02664763.2018.1458825
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      Gómez YM, Gallardo DI, Iriarte Y, Bolfarine H. The Rayleigh–Lindley model: properties and applications [Internet]. Journal of Applied Statistics. 2019 ; 46( 1): 141-163.[citado 2024 out. 11 ] Available from: https://doi.org/10.1080/02664763.2018.1458825
    • Vancouver

      Gómez YM, Gallardo DI, Iriarte Y, Bolfarine H. The Rayleigh–Lindley model: properties and applications [Internet]. Journal of Applied Statistics. 2019 ; 46( 1): 141-163.[citado 2024 out. 11 ] Available from: https://doi.org/10.1080/02664763.2018.1458825
  • Source: Journal of Physics A: Mathematical and Theoretical. Unidades: FFCLRP, FCFRP

    Subjects: MECÂNICA ESTATÍSTICA, ESTATÍSTICA, ALGORITMOS

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      GRANZOTTI, Cristiano Roberto Fabri et al. Persistence length convergence and universality for the self-avoiding random walk. Journal of Physics A: Mathematical and Theoretical, v. 52, n. 7, 2019Tradução . . Disponível em: https://doi.org/10.1088/1751-8121/aaeeb0. Acesso em: 11 out. 2024.
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      Granzotti, C. R. F., Ribeiro, F. L., Martinez, A. S., & Silva, M. A. A. da. (2019). Persistence length convergence and universality for the self-avoiding random walk. Journal of Physics A: Mathematical and Theoretical, 52( 7). doi:10.1088/1751-8121/aaeeb0
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      Granzotti CRF, Ribeiro FL, Martinez AS, Silva MAA da. Persistence length convergence and universality for the self-avoiding random walk [Internet]. Journal of Physics A: Mathematical and Theoretical. 2019 ; 52( 7):[citado 2024 out. 11 ] Available from: https://doi.org/10.1088/1751-8121/aaeeb0
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      Granzotti CRF, Ribeiro FL, Martinez AS, Silva MAA da. Persistence length convergence and universality for the self-avoiding random walk [Internet]. Journal of Physics A: Mathematical and Theoretical. 2019 ; 52( 7):[citado 2024 out. 11 ] Available from: https://doi.org/10.1088/1751-8121/aaeeb0
  • Source: Journal of Statistical Computation and Simulation. Unidade: ICMC

    Subjects: ESTATÍSTICA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA, INFERÊNCIA BAYESIANA, PROBABILIDADE, OTIMIZAÇÃO, OTIMIZAÇÃO COMBINATÓRIA

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      CONCEIÇÃO, Katiane Silva et al. Zero-modified power series distribution and its Hurdle distribution version. Journal of Statistical Computation and Simulation, v. Fe 2017, n. 9, p. 1842-1862, 2017Tradução . . Disponível em: https://doi.org/10.1080/00949655.2017.1289529. Acesso em: 11 out. 2024.
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      Conceição, K. S., Louzada, F., Andrade, M. G. de, & Helou, E. S. (2017). Zero-modified power series distribution and its Hurdle distribution version. Journal of Statistical Computation and Simulation, Fe 2017( 9), 1842-1862. doi:10.1080/00949655.2017.1289529
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      Conceição KS, Louzada F, Andrade MG de, Helou ES. Zero-modified power series distribution and its Hurdle distribution version [Internet]. Journal of Statistical Computation and Simulation. 2017 ; Fe 2017( 9): 1842-1862.[citado 2024 out. 11 ] Available from: https://doi.org/10.1080/00949655.2017.1289529
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      Conceição KS, Louzada F, Andrade MG de, Helou ES. Zero-modified power series distribution and its Hurdle distribution version [Internet]. Journal of Statistical Computation and Simulation. 2017 ; Fe 2017( 9): 1842-1862.[citado 2024 out. 11 ] Available from: https://doi.org/10.1080/00949655.2017.1289529
  • Source: Communications in Statistics - Theory and Methods. Unidade: ICMC

    Subjects: ESTATÍSTICA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA, INFERÊNCIA BAYESIANA, PROBABILIDADE

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      CONCEIÇÃO, Katiane Silva et al. Biparametric zero-modified power series distributions: Bayesian analysis under a reference prior approach. Communications in Statistics - Theory and Methods, v. 46, p. 10507-10517, 2017Tradução . . Disponível em: https://doi.org/10.1080/03610926.2016.1236960. Acesso em: 11 out. 2024.
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      Conceição, K. S., Tomazella, V. L. D., Andrade, M. G. de, & Louzada, F. (2017). Biparametric zero-modified power series distributions: Bayesian analysis under a reference prior approach. Communications in Statistics - Theory and Methods, 46, 10507-10517. doi:10.1080/03610926.2016.1236960
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      Conceição KS, Tomazella VLD, Andrade MG de, Louzada F. Biparametric zero-modified power series distributions: Bayesian analysis under a reference prior approach [Internet]. Communications in Statistics - Theory and Methods. 2017 ; 46 10507-10517.[citado 2024 out. 11 ] Available from: https://doi.org/10.1080/03610926.2016.1236960
    • Vancouver

      Conceição KS, Tomazella VLD, Andrade MG de, Louzada F. Biparametric zero-modified power series distributions: Bayesian analysis under a reference prior approach [Internet]. Communications in Statistics - Theory and Methods. 2017 ; 46 10507-10517.[citado 2024 out. 11 ] Available from: https://doi.org/10.1080/03610926.2016.1236960
  • Source: Experimental Biology and Medicine. Unidade: IME

    Assunto: ESTATÍSTICA

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      SOARES-LOPES, Lauro R et al. Morphological and morphometric analysis of the effects of intralesional tamoxifen on keloids. Experimental Biology and Medicine, v. 242, n. 9, p. 926-929, 2017Tradução . . Disponível em: https://doi.org/10.1177/1535370217700524. Acesso em: 11 out. 2024.
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      Soares-Lopes, L. R., Soares-Lopes, I. M., Alencar, L. L. L., Alencar, A. P., & da Silva, B. B. (2017). Morphological and morphometric analysis of the effects of intralesional tamoxifen on keloids. Experimental Biology and Medicine, 242( 9), 926-929. doi:10.1177/1535370217700524
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      Soares-Lopes LR, Soares-Lopes IM, Alencar LLL, Alencar AP, da Silva BB. Morphological and morphometric analysis of the effects of intralesional tamoxifen on keloids [Internet]. Experimental Biology and Medicine. 2017 ; 242( 9): 926-929.[citado 2024 out. 11 ] Available from: https://doi.org/10.1177/1535370217700524
    • Vancouver

      Soares-Lopes LR, Soares-Lopes IM, Alencar LLL, Alencar AP, da Silva BB. Morphological and morphometric analysis of the effects of intralesional tamoxifen on keloids [Internet]. Experimental Biology and Medicine. 2017 ; 242( 9): 926-929.[citado 2024 out. 11 ] Available from: https://doi.org/10.1177/1535370217700524
  • Source: Logic Journal Of The IGPL. Unidade: IME

    Assunto: ESTATÍSTICA

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      STERN, Julio Michael et al. Logically-consistent hypothesis testing and the hexagon of oppositions. Logic Journal Of The IGPL, v. 25, n. 5, p. 741–757, 2017Tradução . . Disponível em: https://doi.org/10.1093/jigpal/jzx024. Acesso em: 11 out. 2024.
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      Stern, J. M., Izbicki, R., Esteves, L. G., & Stern, R. B. (2017). Logically-consistent hypothesis testing and the hexagon of oppositions. Logic Journal Of The IGPL, 25( 5), 741–757. doi:10.1093/jigpal/jzx024
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      Stern JM, Izbicki R, Esteves LG, Stern RB. Logically-consistent hypothesis testing and the hexagon of oppositions [Internet]. Logic Journal Of The IGPL. 2017 ; 25( 5): 741–757.[citado 2024 out. 11 ] Available from: https://doi.org/10.1093/jigpal/jzx024
    • Vancouver

      Stern JM, Izbicki R, Esteves LG, Stern RB. Logically-consistent hypothesis testing and the hexagon of oppositions [Internet]. Logic Journal Of The IGPL. 2017 ; 25( 5): 741–757.[citado 2024 out. 11 ] Available from: https://doi.org/10.1093/jigpal/jzx024
  • Source: Statistics. Unidade: IME

    Subjects: ESTATÍSTICA, ANÁLISE DE SOBREVIVÊNCIA, PROBABILIDADE, PROCESSOS ESTOCÁSTICOS

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      MORAIS, Alice Lemos de e FERRARI, Sílvia Lopes de Paula. A class of regression models for parallel and series systems with a random number of components. Statistics, v. 51, n. 2, p. 294-313, 2017Tradução . . Disponível em: https://doi.org/10.1080/02331888.2016.1268613. Acesso em: 11 out. 2024.
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      Morais, A. L. de, & Ferrari, S. L. de P. (2017). A class of regression models for parallel and series systems with a random number of components. Statistics, 51( 2), 294-313. doi:10.1080/02331888.2016.1268613
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      Morais AL de, Ferrari SL de P. A class of regression models for parallel and series systems with a random number of components [Internet]. Statistics. 2017 ; 51( 2): 294-313.[citado 2024 out. 11 ] Available from: https://doi.org/10.1080/02331888.2016.1268613
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      Morais AL de, Ferrari SL de P. A class of regression models for parallel and series systems with a random number of components [Internet]. Statistics. 2017 ; 51( 2): 294-313.[citado 2024 out. 11 ] Available from: https://doi.org/10.1080/02331888.2016.1268613
  • Source: Journal of Statistical Computation and Simulation. Unidade: ICMC

    Subjects: ESTATÍSTICA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA, INFERÊNCIA BAYESIANA, PROBABILIDADE, ANÁLISE DE SOBREVIVÊNCIA

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      LACHOS, Víctor H. et al. Scale mixtures log-Birnbaum–Saunders regression models with censored data: a Bayesian approach. Journal of Statistical Computation and Simulation, v. 87, n. 10, p. 2002-2022, 2017Tradução . . Disponível em: https://doi.org/10.1080/00949655.2017.1306860. Acesso em: 11 out. 2024.
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      Lachos, V. H., Dey, D. K., Cancho, V. G., & Louzada, F. (2017). Scale mixtures log-Birnbaum–Saunders regression models with censored data: a Bayesian approach. Journal of Statistical Computation and Simulation, 87( 10), 2002-2022. doi:10.1080/00949655.2017.1306860
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      Lachos VH, Dey DK, Cancho VG, Louzada F. Scale mixtures log-Birnbaum–Saunders regression models with censored data: a Bayesian approach [Internet]. Journal of Statistical Computation and Simulation. 2017 ; 87( 10): 2002-2022.[citado 2024 out. 11 ] Available from: https://doi.org/10.1080/00949655.2017.1306860
    • Vancouver

      Lachos VH, Dey DK, Cancho VG, Louzada F. Scale mixtures log-Birnbaum–Saunders regression models with censored data: a Bayesian approach [Internet]. Journal of Statistical Computation and Simulation. 2017 ; 87( 10): 2002-2022.[citado 2024 out. 11 ] Available from: https://doi.org/10.1080/00949655.2017.1306860
  • Source: Monthly Notices of the Royal Astronomical Society. Unidade: IAG

    Subjects: GALÁXIAS SEY FERT, GALÁXIAS ATIVAS, AGLOMERADOS DE GALÁXIAS, ANÁLISE DE DADOS, ESTATÍSTICA

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      SOUZA, R. S de et al. Is the cluster environment quenching the Seyfert activity in elliptical and spiral galaxies?. Monthly Notices of the Royal Astronomical Society, v. 461, p. 2115-2125, 2016Tradução . . Disponível em: https://doi.org/10.1093/mnras/stw1459. Acesso em: 11 out. 2024.
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      Souza, R. S. de, Dantas, M. L. L., Krone-Martins, A., Cameron, E. E., Coelho, P. R. T., Hattab, M. W., et al. (2016). Is the cluster environment quenching the Seyfert activity in elliptical and spiral galaxies? Monthly Notices of the Royal Astronomical Society, 461, 2115-2125. doi:10.1093/mnras/stw1459
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      Souza RS de, Dantas MLL, Krone-Martins A, Cameron EE, Coelho PRT, Hattab MW, Val-Borro M de, Hilbe JM, Elliott J, Hagen A. Is the cluster environment quenching the Seyfert activity in elliptical and spiral galaxies? [Internet]. Monthly Notices of the Royal Astronomical Society. 2016 ; 461 2115-2125.[citado 2024 out. 11 ] Available from: https://doi.org/10.1093/mnras/stw1459
    • Vancouver

      Souza RS de, Dantas MLL, Krone-Martins A, Cameron EE, Coelho PRT, Hattab MW, Val-Borro M de, Hilbe JM, Elliott J, Hagen A. Is the cluster environment quenching the Seyfert activity in elliptical and spiral galaxies? [Internet]. Monthly Notices of the Royal Astronomical Society. 2016 ; 461 2115-2125.[citado 2024 out. 11 ] Available from: https://doi.org/10.1093/mnras/stw1459
  • Source: eLife. Unidade: ESALQ

    Subjects: CARBONO, MADEIRA, FLORESTAS, ESTATÍSTICA, MUDANÇA CLIMÁTICA

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      PIPONIOT, Camille et al. Carbon recovery dynamics following disturbance by selective logging in Amazonian forests. eLife, v. 5, p. 1-19, 2016Tradução . . Disponível em: https://doi.org/10.7554/eLife.21394.001. Acesso em: 11 out. 2024.
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      Piponiot, C., Sist, P., Mazzei, L., Peña-Claros, M., Putz, F. E., Rutishauser, E., et al. (2016). Carbon recovery dynamics following disturbance by selective logging in Amazonian forests. eLife, 5, 1-19. doi:10.7554/eLife.21394.001
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      Piponiot C, Sist P, Mazzei L, Peña-Claros M, Putz FE, Rutishauser E, Shenkin A, Ascarrunz N, Azevedo CP de, Baraloto C, França M, Guedes M, Coronado ENH, d’Oliveira MVN, Ruschel AR, Silva KE da, Sotta ED, Souza CR de, Silva EJV da, West TAP, Hérault B. Carbon recovery dynamics following disturbance by selective logging in Amazonian forests [Internet]. eLife. 2016 ; 5 1-19.[citado 2024 out. 11 ] Available from: https://doi.org/10.7554/eLife.21394.001
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      Piponiot C, Sist P, Mazzei L, Peña-Claros M, Putz FE, Rutishauser E, Shenkin A, Ascarrunz N, Azevedo CP de, Baraloto C, França M, Guedes M, Coronado ENH, d’Oliveira MVN, Ruschel AR, Silva KE da, Sotta ED, Souza CR de, Silva EJV da, West TAP, Hérault B. Carbon recovery dynamics following disturbance by selective logging in Amazonian forests [Internet]. eLife. 2016 ; 5 1-19.[citado 2024 out. 11 ] Available from: https://doi.org/10.7554/eLife.21394.001
  • Source: Journal of Applied Statistics. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA, ESTATÍSTICA APLICADA, REGRESSÃO LINEAR, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, INFERÊNCIA ESTATÍSTICA

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      YIQI, Bao et al. Influence diagnostics for the Weibull-Negative- Binomial regression model with cure rate under latent failure causes. Journal of Applied Statistics, v. 43, n. 6, p. 1027-1060, 2016Tradução . . Disponível em: https://doi.org/10.1080/02664763.2015.1089221. Acesso em: 11 out. 2024.
    • APA

      Yiqi, B., Russo, C. M., Cancho, V. G., & Louzada, F. (2016). Influence diagnostics for the Weibull-Negative- Binomial regression model with cure rate under latent failure causes. Journal of Applied Statistics, 43( 6), 1027-1060. doi:10.1080/02664763.2015.1089221
    • NLM

      Yiqi B, Russo CM, Cancho VG, Louzada F. Influence diagnostics for the Weibull-Negative- Binomial regression model with cure rate under latent failure causes [Internet]. Journal of Applied Statistics. 2016 ; 43( 6): 1027-1060.[citado 2024 out. 11 ] Available from: https://doi.org/10.1080/02664763.2015.1089221
    • Vancouver

      Yiqi B, Russo CM, Cancho VG, Louzada F. Influence diagnostics for the Weibull-Negative- Binomial regression model with cure rate under latent failure causes [Internet]. Journal of Applied Statistics. 2016 ; 43( 6): 1027-1060.[citado 2024 out. 11 ] Available from: https://doi.org/10.1080/02664763.2015.1089221
  • Source: British Journal of Nutrition. Unidade: FSP

    Subjects: CONSUMO DE ALIMENTOS, INGESTÃO DE ENERGIA, INQUÉRITOS NUTRICIONAIS, ESTATÍSTICA

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      VERLY JÚNIOR, Eliseu et al. Performance of statistical methods to correct food intake distribution: comparison between observed and estimated usual intake. British Journal of Nutrition, v. 116, n. 05, p. 897-903, 2016Tradução . . Disponível em: https://doi.org/10.1017/s0007114516002725. Acesso em: 11 out. 2024.
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      Verly Júnior, E., Oliveira, D. C. R. S., Fisberg, R. M., & Marchioni, D. M. L. (2016). Performance of statistical methods to correct food intake distribution: comparison between observed and estimated usual intake. British Journal of Nutrition, 116( 05), 897-903. doi:10.1017/s0007114516002725
    • NLM

      Verly Júnior E, Oliveira DCRS, Fisberg RM, Marchioni DML. Performance of statistical methods to correct food intake distribution: comparison between observed and estimated usual intake [Internet]. British Journal of Nutrition. 2016 ;116( 05): 897-903.[citado 2024 out. 11 ] Available from: https://doi.org/10.1017/s0007114516002725
    • Vancouver

      Verly Júnior E, Oliveira DCRS, Fisberg RM, Marchioni DML. Performance of statistical methods to correct food intake distribution: comparison between observed and estimated usual intake [Internet]. British Journal of Nutrition. 2016 ;116( 05): 897-903.[citado 2024 out. 11 ] Available from: https://doi.org/10.1017/s0007114516002725
  • Source: International Journal of Performance Analysis in Sport. Unidade: EEFE

    Subjects: ARTES MARCIAIS, JUDÔ, DESEMPENHO ESPORTIVO, CAMPEONATOS ESPORTIVOS, JOGOS OLÍMPICOS, ESTATÍSTICA

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      MIARKA, Bianca et al. Time-motion analysis and Decision Making in Female Judo Athletes during Victory or Defeat at Olympic and Non-Olympic Events: are combat actions really unpredictable. International Journal of Performance Analysis in Sport, v. 16, n. 2, p. 442-463, 2016Tradução . . Disponível em: https://doi.org/10.1080/24748668.2016.11868900. Acesso em: 11 out. 2024.
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      Miarka, B., Fukuda, D. H., Heinisch, H. -D., Battazza, R., Vecchio, F. B. D., Camey, S., & Franchini, E. (2016). Time-motion analysis and Decision Making in Female Judo Athletes during Victory or Defeat at Olympic and Non-Olympic Events: are combat actions really unpredictable. International Journal of Performance Analysis in Sport, 16( 2), 442-463. doi:10.1080/24748668.2016.11868900
    • NLM

      Miarka B, Fukuda DH, Heinisch H-D, Battazza R, Vecchio FBD, Camey S, Franchini E. Time-motion analysis and Decision Making in Female Judo Athletes during Victory or Defeat at Olympic and Non-Olympic Events: are combat actions really unpredictable [Internet]. International Journal of Performance Analysis in Sport. 2016 ; 16( 2): 442-463.[citado 2024 out. 11 ] Available from: https://doi.org/10.1080/24748668.2016.11868900
    • Vancouver

      Miarka B, Fukuda DH, Heinisch H-D, Battazza R, Vecchio FBD, Camey S, Franchini E. Time-motion analysis and Decision Making in Female Judo Athletes during Victory or Defeat at Olympic and Non-Olympic Events: are combat actions really unpredictable [Internet]. International Journal of Performance Analysis in Sport. 2016 ; 16( 2): 442-463.[citado 2024 out. 11 ] Available from: https://doi.org/10.1080/24748668.2016.11868900

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