Filtros : "República de Kiribati" "Journal of Applied Statistics" Removidos: "SEMENTES" "ESALQ-LGN" "BOUROTTE, CHRISTINE LAURE MARIE" Limpar

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  • Source: Journal of Applied Statistics. Unidade: ESALQ

    Subjects: ESTATÍSTICA APLICADA, LOGÍSTICA

    Acesso à fonteDOIHow to cite
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    • ABNT

      CORRENTE, José Eduardo e CHALITA, L. V. A. S. e MOREIRA, J. A. Choosing between Cox proportional hazards and logistic models for interval-censored data via bootstrap. Journal of Applied Statistics, v. 30, n. ja, p. 37-47, 2003Tradução . . Disponível em: https://doi.org/10.1080/0266476022000018493. Acesso em: 06 nov. 2024.
    • APA

      Corrente, J. E., Chalita, L. V. A. S., & Moreira, J. A. (2003). Choosing between Cox proportional hazards and logistic models for interval-censored data via bootstrap. Journal of Applied Statistics, 30( ja), 37-47. doi:10.1080/0266476022000018493
    • NLM

      Corrente JE, Chalita LVAS, Moreira JA. Choosing between Cox proportional hazards and logistic models for interval-censored data via bootstrap [Internet]. Journal of Applied Statistics. 2003 ; 30( ja): 37-47.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1080/0266476022000018493
    • Vancouver

      Corrente JE, Chalita LVAS, Moreira JA. Choosing between Cox proportional hazards and logistic models for interval-censored data via bootstrap [Internet]. Journal of Applied Statistics. 2003 ; 30( ja): 37-47.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1080/0266476022000018493
  • Source: Journal of Applied Statistics. Unidade: ESALQ

    Subjects: REQUEIMA, PIMENTA, MELHORAMENTO GENÉTICO VEGETAL

    Acesso à fonteDOIHow to cite
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    • ABNT

      CORRENTE, José Eduardo e DIAZ, M. D. Ordinal models and generalized estimating equations to evaluate disease severity. Journal of Applied Statistics, v. 30, p. 425-439, 2003Tradução . . Disponível em: https://doi.org/10.1080/0266476032000035458. Acesso em: 06 nov. 2024.
    • APA

      Corrente, J. E., & Diaz, M. D. (2003). Ordinal models and generalized estimating equations to evaluate disease severity. Journal of Applied Statistics, 30, 425-439. doi:10.1080/0266476032000035458
    • NLM

      Corrente JE, Diaz MD. Ordinal models and generalized estimating equations to evaluate disease severity [Internet]. Journal of Applied Statistics. 2003 ; 30 425-439.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1080/0266476032000035458
    • Vancouver

      Corrente JE, Diaz MD. Ordinal models and generalized estimating equations to evaluate disease severity [Internet]. Journal of Applied Statistics. 2003 ; 30 425-439.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1080/0266476032000035458
  • Source: Journal of Applied Statistics. Unidade: ESALQ

    Subjects: PROBABILIDADE E ESTATISTICA, CONTROLE BIOLÓGICO

    Acesso à fonteDOIHow to cite
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    • ABNT

      VIEIRA, A. M. C. e HINDE, J. P. e DEMÉTRIO, Clarice Garcia Borges. Zero-inflated proportion data models applied to a biological control assay. Journal of Applied Statistics, v. 27, n. 3, p. 373-389, 2000Tradução . . Disponível em: https://doi.org/10.1080/02664760021673. Acesso em: 06 nov. 2024.
    • APA

      Vieira, A. M. C., Hinde, J. P., & Demétrio, C. G. B. (2000). Zero-inflated proportion data models applied to a biological control assay. Journal of Applied Statistics, 27( 3), 373-389. doi:10.1080/02664760021673
    • NLM

      Vieira AMC, Hinde JP, Demétrio CGB. Zero-inflated proportion data models applied to a biological control assay [Internet]. Journal of Applied Statistics. 2000 ; 27( 3): 373-389.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1080/02664760021673
    • Vancouver

      Vieira AMC, Hinde JP, Demétrio CGB. Zero-inflated proportion data models applied to a biological control assay [Internet]. Journal of Applied Statistics. 2000 ; 27( 3): 373-389.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1080/02664760021673

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