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  • Source: Statistics and Its Interface. Unidades: ICMC, IME

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO

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      ARI, Sandra Elizabeth Flores et al. Spatial regression models for bounded response variables with evaluation of the degree of dependence. Statistics and Its Interface, v. 14, n. 2, p. 95-107, 2021Tradução . . Disponível em: https://doi.org/10.4310/20-SII617. Acesso em: 02 out. 2022.
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      Ari, S. E. F., Prates, M. O., Bazán, J. L., & Bolfarine, H. (2021). Spatial regression models for bounded response variables with evaluation of the degree of dependence. Statistics and Its Interface, 14( 2), 95-107. doi:10.4310/20-SII617
    • NLM

      Ari SEF, Prates MO, Bazán JL, Bolfarine H. Spatial regression models for bounded response variables with evaluation of the degree of dependence [Internet]. Statistics and Its Interface. 2021 ; 14( 2): 95-107.[citado 2022 out. 02 ] Available from: https://doi.org/10.4310/20-SII617
    • Vancouver

      Ari SEF, Prates MO, Bazán JL, Bolfarine H. Spatial regression models for bounded response variables with evaluation of the degree of dependence [Internet]. Statistics and Its Interface. 2021 ; 14( 2): 95-107.[citado 2022 out. 02 ] Available from: https://doi.org/10.4310/20-SII617
  • Unidades: IME, ICMC

    Subjects: ESTATÍSTICA APLICADA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, VIÉS DO TESTE

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      BOLFARINE, Heleno e ANDRADE FILHO, Mário de Castro e GALEA ROJAS, Manuel Jesus. Regression models for the comparison of measurement methods. . Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-57935-7. Acesso em: 02 out. 2022. , 2020
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      Bolfarine, H., Andrade Filho, M. de C., & Galea Rojas, M. J. (2020). Regression models for the comparison of measurement methods. Cham: Springer. doi:10.1007/978-3-030-57935-7
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      Bolfarine H, Andrade Filho M de C, Galea Rojas MJ. Regression models for the comparison of measurement methods [Internet]. 2020 ;[citado 2022 out. 02 ] Available from: https://doi.org/10.1007/978-3-030-57935-7
    • Vancouver

      Bolfarine H, Andrade Filho M de C, Galea Rojas MJ. Regression models for the comparison of measurement methods [Internet]. 2020 ;[citado 2022 out. 02 ] Available from: https://doi.org/10.1007/978-3-030-57935-7
  • Source: Springer Proceedings in Mathematics & Statistics. Conference title: Annual Meeting of the Psychometric Society - IMPS. Unidades: ICMC, IME

    Subjects: TEMPO DE REAÇÃO, DISTRIBUIÇÕES (PROBABILIDADE)

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      ARI, Sandra Elizabeth Flores e GUZMÁN, Jorge Luis Bazán e BOLFARINE, Heleno. A hierarchical joint model for bounded response time and response accuracy. Springer Proceedings in Mathematics & Statistics. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-43469-4_8. Acesso em: 02 out. 2022. , 2020
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      Ari, S. E. F., Guzmán, J. L. B., & Bolfarine, H. (2020). A hierarchical joint model for bounded response time and response accuracy. Springer Proceedings in Mathematics & Statistics. Cham: Springer. doi:10.1007/978-3-030-43469-4_8
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      Ari SEF, Guzmán JLB, Bolfarine H. A hierarchical joint model for bounded response time and response accuracy [Internet]. Springer Proceedings in Mathematics & Statistics. 2020 ; 322 95-109.[citado 2022 out. 02 ] Available from: https://doi.org/10.1007/978-3-030-43469-4_8
    • Vancouver

      Ari SEF, Guzmán JLB, Bolfarine H. A hierarchical joint model for bounded response time and response accuracy [Internet]. Springer Proceedings in Mathematics & Statistics. 2020 ; 322 95-109.[citado 2022 out. 02 ] Available from: https://doi.org/10.1007/978-3-030-43469-4_8
  • Source: Regression models for the comparison of measurement methods. Unidades: IME, ICMC

    Subjects: ESTATÍSTICA APLICADA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, VIÉS DO TESTE

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      BOLFARINE, Heleno e ANDRADE FILHO, Mário de Castro e GALEA ROJAS, Manuel Jesus. In this book, we present models and statistical methods for the comparison.. [Prefácio]. Regression models for the comparison of measurement methods. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-57935-7. Acesso em: 02 out. 2022. , 2020
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      Bolfarine, H., Andrade Filho, M. de C., & Galea Rojas, M. J. (2020). In this book, we present models and statistical methods for the comparison.. [Prefácio]. Regression models for the comparison of measurement methods. Cham: Springer. doi:10.1007/978-3-030-57935-7
    • NLM

      Bolfarine H, Andrade Filho M de C, Galea Rojas MJ. In this book, we present models and statistical methods for the comparison.. [Prefácio] [Internet]. Regression models for the comparison of measurement methods. 2020 ;[citado 2022 out. 02 ] Available from: https://doi.org/10.1007/978-3-030-57935-7
    • Vancouver

      Bolfarine H, Andrade Filho M de C, Galea Rojas MJ. In this book, we present models and statistical methods for the comparison.. [Prefácio] [Internet]. Regression models for the comparison of measurement methods. 2020 ;[citado 2022 out. 02 ] Available from: https://doi.org/10.1007/978-3-030-57935-7
  • Source: Libro de resúmenes. Conference title: Congreso Bayesiano de America Latina. Unidades: ICMC, IME

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO

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      FLORES, Sandra Elizabeth et al. Spatial regression models for bounded response variables with different dependence structure. 2019, Anais.. Lima: PUCP, 2019. Disponível em: https://www.dropbox.com/s/99p8o4a93tcbktk/VICOBAL2019.pdf?dl=0. Acesso em: 02 out. 2022.
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      Flores, S. E., Prates, M. O., Guzmán, J. L. B., & Bolfarine, H. (2019). Spatial regression models for bounded response variables with different dependence structure. In Libro de resúmenes. Lima: PUCP. Recuperado de https://www.dropbox.com/s/99p8o4a93tcbktk/VICOBAL2019.pdf?dl=0
    • NLM

      Flores SE, Prates MO, Guzmán JLB, Bolfarine H. Spatial regression models for bounded response variables with different dependence structure [Internet]. Libro de resúmenes. 2019 ;[citado 2022 out. 02 ] Available from: https://www.dropbox.com/s/99p8o4a93tcbktk/VICOBAL2019.pdf?dl=0
    • Vancouver

      Flores SE, Prates MO, Guzmán JLB, Bolfarine H. Spatial regression models for bounded response variables with different dependence structure [Internet]. Libro de resúmenes. 2019 ;[citado 2022 out. 02 ] Available from: https://www.dropbox.com/s/99p8o4a93tcbktk/VICOBAL2019.pdf?dl=0
  • Source: Brazilian Journal of Probability and Statistics. Unidades: ICMC, IME

    Subjects: INFERÊNCIA BAYESIANA, PROBABILIDADE, ESTATÍSTICA APLICADA, PSICOMETRIA, DISTRIBUIÇÕES (PROBABILIDADE)

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      BAZÁN GUZMÁN, Jorge Luis e BRANCO, Marcia D'Elia e BOLFARINE, Heleno. Extensions of the skew-normal ogive item response model. Brazilian Journal of Probability and Statistics, v. 28, n. 1, p. 1-23, 2014Tradução . . Disponível em: http://dx.doi.org/10.1214/12-BJPS191. Acesso em: 02 out. 2022.
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      Bazán Guzmán, J. L., Branco, M. D. 'E., & Bolfarine, H. (2014). Extensions of the skew-normal ogive item response model. Brazilian Journal of Probability and Statistics, 28( 1), 1-23. doi:10.1214/12-BJPS191
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      Bazán Guzmán JL, Branco MD'E, Bolfarine H. Extensions of the skew-normal ogive item response model [Internet]. Brazilian Journal of Probability and Statistics. 2014 ; 28( 1): 1-23.[citado 2022 out. 02 ] Available from: http://dx.doi.org/10.1214/12-BJPS191
    • Vancouver

      Bazán Guzmán JL, Branco MD'E, Bolfarine H. Extensions of the skew-normal ogive item response model [Internet]. Brazilian Journal of Probability and Statistics. 2014 ; 28( 1): 1-23.[citado 2022 out. 02 ] Available from: http://dx.doi.org/10.1214/12-BJPS191
  • Source: Environmetrics. Unidades: ICMC, IME

    Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA, ESTATÍSTICA APLICADA

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      CASTRO, Mário de e BOLFARINE, Heleno e GALEA, M. Bayesian inference in measurement error models for replicated data. Environmetrics, v. 24, p. 22\201330, 2013Tradução . . Disponível em: http://dx.doi.org/10.1007/s00362-010-0326-5. Acesso em: 02 out. 2022.
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      Castro, M. de, Bolfarine, H., & Galea, M. (2013). Bayesian inference in measurement error models for replicated data. Environmetrics, 24, 22\201330. doi:10.1002/env.2179
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      Castro M de, Bolfarine H, Galea M. Bayesian inference in measurement error models for replicated data [Internet]. Environmetrics. 2013 ; 24 22\201330.[citado 2022 out. 02 ] Available from: http://dx.doi.org/10.1007/s00362-010-0326-5
    • Vancouver

      Castro M de, Bolfarine H, Galea M. Bayesian inference in measurement error models for replicated data [Internet]. Environmetrics. 2013 ; 24 22\201330.[citado 2022 out. 02 ] Available from: http://dx.doi.org/10.1007/s00362-010-0326-5
  • Source: Journal of Data Science. Unidades: ICMC, ESALQ, IME

    Subjects: INFERÊNCIA BAYESIANA, REGRESSÃO LINEAR

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      CANCHO, Vicente Garibay e ORTEGA, Edwin Moisés Marcos e BOLFARINE, Heleno. The log-exponentiated-weibull regression models with cure rate: local influence and residual analysis. Journal of Data Science, v. 7, n. 4, p. 433-458, 2009Tradução . . Disponível em: http://www.jds-online.com/. Acesso em: 02 out. 2022.
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      Cancho, V. G., Ortega, E. M. M., & Bolfarine, H. (2009). The log-exponentiated-weibull regression models with cure rate: local influence and residual analysis. Journal of Data Science, 7( 4), 433-458. Recuperado de http://www.jds-online.com/
    • NLM

      Cancho VG, Ortega EMM, Bolfarine H. The log-exponentiated-weibull regression models with cure rate: local influence and residual analysis [Internet]. Journal of Data Science. 2009 ; 7( 4): 433-458.[citado 2022 out. 02 ] Available from: http://www.jds-online.com/
    • Vancouver

      Cancho VG, Ortega EMM, Bolfarine H. The log-exponentiated-weibull regression models with cure rate: local influence and residual analysis [Internet]. Journal of Data Science. 2009 ; 7( 4): 433-458.[citado 2022 out. 02 ] Available from: http://www.jds-online.com/
  • Source: Statistical Methodology. Unidades: IME, ICMC

    Subjects: ESTATÍSTICA APLICADA, REGRESSÃO LINEAR

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      PATRIOTA, A. G. e BOLFARINE, Heleno e CASTRO, Mário de. A heteroscedastic structural errors-in-variables model with equation error. Statistical Methodology, v. 6, n. 4, p. 408-423, 2009Tradução . . Disponível em: https://doi.org/10.1016/j.stamet.2009.02.003. Acesso em: 02 out. 2022.
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      Patriota, A. G., Bolfarine, H., & Castro, M. de. (2009). A heteroscedastic structural errors-in-variables model with equation error. Statistical Methodology, 6( 4), 408-423. doi:10.1016/j.stamet.2009.02.003
    • NLM

      Patriota AG, Bolfarine H, Castro M de. A heteroscedastic structural errors-in-variables model with equation error [Internet]. Statistical Methodology. 2009 ; 6( 4): 408-423.[citado 2022 out. 02 ] Available from: https://doi.org/10.1016/j.stamet.2009.02.003
    • Vancouver

      Patriota AG, Bolfarine H, Castro M de. A heteroscedastic structural errors-in-variables model with equation error [Internet]. Statistical Methodology. 2009 ; 6( 4): 408-423.[citado 2022 out. 02 ] Available from: https://doi.org/10.1016/j.stamet.2009.02.003
  • Source: Statistics in Medicine. Unidades: ICMC, IME

    Subjects: ESTATÍSTICA APLICADA, REGRESSÃO LINEAR

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      CASTRO, Mário de e GALEA, Manuel e BOLFARINE, Heleno. Hypothesis testing in an errors-in-variables model with heteroscedastic measurement errors. Statistics in Medicine, v. 27, n. 25, p. 5217-5234, 2008Tradução . . Disponível em: http://www3.interscience.wiley.com/cgi-bin/fulltext/119876998/PDFSTART. Acesso em: 02 out. 2022.
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      Castro, M. de, Galea, M., & Bolfarine, H. (2008). Hypothesis testing in an errors-in-variables model with heteroscedastic measurement errors. Statistics in Medicine, 27( 25), 5217-5234. doi:10.1002/sim.3343
    • NLM

      Castro M de, Galea M, Bolfarine H. Hypothesis testing in an errors-in-variables model with heteroscedastic measurement errors [Internet]. Statistics in Medicine. 2008 ; 27( 25): 5217-5234.[citado 2022 out. 02 ] Available from: http://www3.interscience.wiley.com/cgi-bin/fulltext/119876998/PDFSTART
    • Vancouver

      Castro M de, Galea M, Bolfarine H. Hypothesis testing in an errors-in-variables model with heteroscedastic measurement errors [Internet]. Statistics in Medicine. 2008 ; 27( 25): 5217-5234.[citado 2022 out. 02 ] Available from: http://www3.interscience.wiley.com/cgi-bin/fulltext/119876998/PDFSTART
  • Source: Technometrics. Unidades: ICMC, IME

    Subject: INFERÊNCIA

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      CASTRO, Mário de e GALEA ROJAS, Manuel Jesus e BOLFARINE, Heleno. Untitled. [Letter to the Editor]. Technometrics. London: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: http://dx.doi.org/10.1198/004017008000000028. Acesso em: 02 out. 2022. , 2008
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      Castro, M. de, Galea Rojas, M. J., & Bolfarine, H. (2008). Untitled. [Letter to the Editor]. Technometrics. London: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1198/004017008000000028
    • NLM

      Castro M de, Galea Rojas MJ, Bolfarine H. Untitled. [Letter to the Editor] [Internet]. Technometrics. 2008 ; 50( 1): 86.[citado 2022 out. 02 ] Available from: http://dx.doi.org/10.1198/004017008000000028
    • Vancouver

      Castro M de, Galea Rojas MJ, Bolfarine H. Untitled. [Letter to the Editor] [Internet]. Technometrics. 2008 ; 50( 1): 86.[citado 2022 out. 02 ] Available from: http://dx.doi.org/10.1198/004017008000000028
  • Source: Journal of Applied Statistical Science. Unidades: ICMC, IME

    Subjects: INFERÊNCIA ESTATÍSTICA, REGRESSÃO LINEAR, OTIMIZAÇÃO ESTOCÁSTICA

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      AOKI, Reiko e SINGER, Júlio da Motta e BOLFARINE, Heleno. Local influence for measurement error regression models for the analysis of pretest/posttest data. Journal of Applied Statistical Science, v. 15, n. 3, p. 317-330, 2007Tradução . . Acesso em: 02 out. 2022.
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      Aoki, R., Singer, J. da M., & Bolfarine, H. (2007). Local influence for measurement error regression models for the analysis of pretest/posttest data. Journal of Applied Statistical Science, 15( 3), 317-330.
    • NLM

      Aoki R, Singer J da M, Bolfarine H. Local influence for measurement error regression models for the analysis of pretest/posttest data. Journal of Applied Statistical Science. 2007 ; 15( 3): 317-330.[citado 2022 out. 02 ]
    • Vancouver

      Aoki R, Singer J da M, Bolfarine H. Local influence for measurement error regression models for the analysis of pretest/posttest data. Journal of Applied Statistical Science. 2007 ; 15( 3): 317-330.[citado 2022 out. 02 ]
  • Source: Annals of the Institute of Statistical Mathematics. Unidades: IME, ICMC

    Subjects: ESTATÍSTICA APLICADA, REGRESSÃO LINEAR

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      ZAVALA, Arturo A. Z. e BOLFARINE, Heleno e CASTRO, Mário de. Consistent estimation and testing in heteroscedastic polynomial errors-in-variables models. Annals of the Institute of Statistical Mathematics, v. 59, p. 515-530, 2007Tradução . . Disponível em: https://doi.org/10.1007/s10463-006-0069-1. Acesso em: 02 out. 2022.
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      Zavala, A. A. Z., Bolfarine, H., & Castro, M. de. (2007). Consistent estimation and testing in heteroscedastic polynomial errors-in-variables models. Annals of the Institute of Statistical Mathematics, 59, 515-530. doi:10.1007/s10463-006-0069-1
    • NLM

      Zavala AAZ, Bolfarine H, Castro M de. Consistent estimation and testing in heteroscedastic polynomial errors-in-variables models [Internet]. Annals of the Institute of Statistical Mathematics. 2007 ; 59 515-530.[citado 2022 out. 02 ] Available from: https://doi.org/10.1007/s10463-006-0069-1
    • Vancouver

      Zavala AAZ, Bolfarine H, Castro M de. Consistent estimation and testing in heteroscedastic polynomial errors-in-variables models [Internet]. Annals of the Institute of Statistical Mathematics. 2007 ; 59 515-530.[citado 2022 out. 02 ] Available from: https://doi.org/10.1007/s10463-006-0069-1
  • Source: Computational Statistics & Data Analysis. Unidades: ICMC, IME

    Subjects: ESTATÍSTICA APLICADA, REGRESSÃO LINEAR

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      CASTRO, Mário de e GALEA ROJAS, Manuel Jesus e BOLFARINE, Heleno. Local influence assessment in heteroscedastic measurement error models. Computational Statistics & Data Analysis, v. 52, n. 2, p. 1132-1142, 2007Tradução . . Disponível em: https://doi.org/10.1016/j.csda.2007.05.012. Acesso em: 02 out. 2022.
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      Castro, M. de, Galea Rojas, M. J., & Bolfarine, H. (2007). Local influence assessment in heteroscedastic measurement error models. Computational Statistics & Data Analysis, 52( 2), 1132-1142. doi:10.1016/j.csda.2007.05.012
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      Castro M de, Galea Rojas MJ, Bolfarine H. Local influence assessment in heteroscedastic measurement error models [Internet]. Computational Statistics & Data Analysis. 2007 ; 52( 2): 1132-1142.[citado 2022 out. 02 ] Available from: https://doi.org/10.1016/j.csda.2007.05.012
    • Vancouver

      Castro M de, Galea Rojas MJ, Bolfarine H. Local influence assessment in heteroscedastic measurement error models [Internet]. Computational Statistics & Data Analysis. 2007 ; 52( 2): 1132-1142.[citado 2022 out. 02 ] Available from: https://doi.org/10.1016/j.csda.2007.05.012
  • Source: Statistics and Operations Research Transactions. Unidades: ESALQ, ICMC, IME

    Subjects: INFERÊNCIA BAYESIANA, REGRESSÃO LINEAR

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      ORTEGA, Edwin Moisés Marcos e CANCHO, Vicente Garibay e BOLFARINE, Heleno. Influence diagnostics in exponentiated-weibull regression models with censored data. Statistics and Operations Research Transactions, v. 30, n. 2, p. 171-192, 2006Tradução . . Disponível em: http://dialnet.unirioja.es/servlet/articulo?codigo=2212583. Acesso em: 02 out. 2022.
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      Ortega, E. M. M., Cancho, V. G., & Bolfarine, H. (2006). Influence diagnostics in exponentiated-weibull regression models with censored data. Statistics and Operations Research Transactions, 30( 2), 171-192. Recuperado de http://dialnet.unirioja.es/servlet/articulo?codigo=2212583
    • NLM

      Ortega EMM, Cancho VG, Bolfarine H. Influence diagnostics in exponentiated-weibull regression models with censored data [Internet]. Statistics and Operations Research Transactions. 2006 ;30( 2): 171-192.[citado 2022 out. 02 ] Available from: http://dialnet.unirioja.es/servlet/articulo?codigo=2212583
    • Vancouver

      Ortega EMM, Cancho VG, Bolfarine H. Influence diagnostics in exponentiated-weibull regression models with censored data [Internet]. Statistics and Operations Research Transactions. 2006 ;30( 2): 171-192.[citado 2022 out. 02 ] Available from: http://dialnet.unirioja.es/servlet/articulo?codigo=2212583
  • Source: Journal of Biopharmaceutical Statistics. Unidades: ICMC, IME

    Subjects: REGRESSÃO LINEAR, INFERÊNCIA BAYESIANA

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      AOKI, Reiko et al. Mixture of normal distributions in multivariate null intercept measurement error model. Journal of Biopharmaceutical Statistics, v. 16, p. 785-802, 2006Tradução . . Acesso em: 02 out. 2022.
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      Aoki, R., Pinto Junior, D. L., Achcar, J. A., & Bolfarine, H. (2006). Mixture of normal distributions in multivariate null intercept measurement error model. Journal of Biopharmaceutical Statistics, 16, 785-802.
    • NLM

      Aoki R, Pinto Junior DL, Achcar JA, Bolfarine H. Mixture of normal distributions in multivariate null intercept measurement error model. Journal of Biopharmaceutical Statistics. 2006 ; 16 785-802.[citado 2022 out. 02 ]
    • Vancouver

      Aoki R, Pinto Junior DL, Achcar JA, Bolfarine H. Mixture of normal distributions in multivariate null intercept measurement error model. Journal of Biopharmaceutical Statistics. 2006 ; 16 785-802.[citado 2022 out. 02 ]
  • Source: Chemometrics and Intelligent Laboratory Systems. Unidades: ICMC, IME

    Subjects: ESTATÍSTICA APLICADA, REGRESSÃO LINEAR, TEORIA ANALÍTICA DOS NÚMEROS, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO

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      CASTRO, Mário de et al. Local influence in regression for the detection of analytical bias. Chemometrics and Intelligent Laboratory Systems, v. 83, n. 2, p. 139-147, 2006Tradução . . Disponível em: https://doi.org/10.1016/j.chemolab.2006.02.005. Acesso em: 02 out. 2022.
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      Castro, M. de, Galea Rojas, M. J., Bolfarine, H., & Castilho, M. V. de. (2006). Local influence in regression for the detection of analytical bias. Chemometrics and Intelligent Laboratory Systems, 83( 2), 139-147. doi:10.1016/j.chemolab.2006.02.005
    • NLM

      Castro M de, Galea Rojas MJ, Bolfarine H, Castilho MV de. Local influence in regression for the detection of analytical bias [Internet]. Chemometrics and Intelligent Laboratory Systems. 2006 ; 83( 2): 139-147.[citado 2022 out. 02 ] Available from: https://doi.org/10.1016/j.chemolab.2006.02.005
    • Vancouver

      Castro M de, Galea Rojas MJ, Bolfarine H, Castilho MV de. Local influence in regression for the detection of analytical bias [Internet]. Chemometrics and Intelligent Laboratory Systems. 2006 ; 83( 2): 139-147.[citado 2022 out. 02 ] Available from: https://doi.org/10.1016/j.chemolab.2006.02.005
  • Source: Environmetrics. Unidades: ICMC, IME

    Subject: INFERÊNCIA PARAMÉTRICA

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      CASTRO, Mário de e BOLFARINE, Heleno e CASTILHO, Márcio V. de. Consistent estimation and testing in comparing analytical bias models. Environmetrics, v. 17, n. 2, p. 167-182, 2006Tradução . . Disponível em: https://doi.org/10.1002/env.760. Acesso em: 02 out. 2022.
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      Castro, M. de, Bolfarine, H., & Castilho, M. V. de. (2006). Consistent estimation and testing in comparing analytical bias models. Environmetrics, 17( 2), 167-182. doi:10.1002/env.760
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      Castro M de, Bolfarine H, Castilho MV de. Consistent estimation and testing in comparing analytical bias models [Internet]. Environmetrics. 2006 ; 17( 2): 167-182.[citado 2022 out. 02 ] Available from: https://doi.org/10.1002/env.760
    • Vancouver

      Castro M de, Bolfarine H, Castilho MV de. Consistent estimation and testing in comparing analytical bias models [Internet]. Environmetrics. 2006 ; 17( 2): 167-182.[citado 2022 out. 02 ] Available from: https://doi.org/10.1002/env.760
  • Source: Analytica Chimica Acta. Unidades: ICMC, IME

    Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, TESTES DE HIPÓTESES

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    • ABNT

      CASTRO, Mário de et al. An exact test for analytical bias detection. Analytica Chimica Acta, v. 538, n. 1-2, p. 375-381, 2005Tradução . . Disponível em: https://doi.org/10.1016/j.aca.2005.01.060. Acesso em: 02 out. 2022.
    • APA

      Castro, M. de, Bolfarine, H., Galea Rojas, M. J., & Castilho, M. V. de. (2005). An exact test for analytical bias detection. Analytica Chimica Acta, 538( 1-2), 375-381. doi:10.1016/j.aca.2005.01.060
    • NLM

      Castro M de, Bolfarine H, Galea Rojas MJ, Castilho MV de. An exact test for analytical bias detection [Internet]. Analytica Chimica Acta. 2005 ; 538( 1-2): 375-381.[citado 2022 out. 02 ] Available from: https://doi.org/10.1016/j.aca.2005.01.060
    • Vancouver

      Castro M de, Bolfarine H, Galea Rojas MJ, Castilho MV de. An exact test for analytical bias detection [Internet]. Analytica Chimica Acta. 2005 ; 538( 1-2): 375-381.[citado 2022 out. 02 ] Available from: https://doi.org/10.1016/j.aca.2005.01.060
  • Source: Journal of Applied Statistics. Unidades: ICMC, IME

    Subject: INFERÊNCIA ESTATÍSTICA

    Online source accessDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      VILCA LABRA, Filidor Edilfonso e AOKI, Reiko e BOLFARINE, Heleno. Local influence in null intercept measurement error regression under a Student_t model. Journal of Applied Statistics, v. 32, n. 7, p. 723-739, 2005Tradução . . Disponível em: https://doi.org/10.1080/02664760500079639. Acesso em: 02 out. 2022.
    • APA

      Vilca Labra, F. E., Aoki, R., & Bolfarine, H. (2005). Local influence in null intercept measurement error regression under a Student_t model. Journal of Applied Statistics, 32( 7), 723-739. doi:10.1080/02664760500079639
    • NLM

      Vilca Labra FE, Aoki R, Bolfarine H. Local influence in null intercept measurement error regression under a Student_t model [Internet]. Journal of Applied Statistics. 2005 ; 32( 7): 723-739.[citado 2022 out. 02 ] Available from: https://doi.org/10.1080/02664760500079639
    • Vancouver

      Vilca Labra FE, Aoki R, Bolfarine H. Local influence in null intercept measurement error regression under a Student_t model [Internet]. Journal of Applied Statistics. 2005 ; 32( 7): 723-739.[citado 2022 out. 02 ] Available from: https://doi.org/10.1080/02664760500079639

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