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  • Source: Journal of Statistical Planning and Inference. Unidade: IME

    Subjects: ESTATÍSTICA APLICADA, MODELOS LINEARES GENERALIZADOS, COMPONENTES DE VARIÂNCIA

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      PATRIOTA, Alexandre Galvão e ALVES, Jônatas de Oliveira. A monotone frequentist measure of evidence for testing variance components in linear mixed models. Journal of Statistical Planning and Inference, v. 219, p. 43-62, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.jspi.2021.11.002. Acesso em: 13 jun. 2024.
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      Patriota, A. G., & Alves, J. de O. (2022). A monotone frequentist measure of evidence for testing variance components in linear mixed models. Journal of Statistical Planning and Inference, 219, 43-62. doi:10.1016/j.jspi.2021.11.002
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      Patriota AG, Alves J de O. A monotone frequentist measure of evidence for testing variance components in linear mixed models [Internet]. Journal of Statistical Planning and Inference. 2022 ; 219 43-62.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1016/j.jspi.2021.11.002
    • Vancouver

      Patriota AG, Alves J de O. A monotone frequentist measure of evidence for testing variance components in linear mixed models [Internet]. Journal of Statistical Planning and Inference. 2022 ; 219 43-62.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1016/j.jspi.2021.11.002
  • Source: Journal of Statistical Planning and Inference. Unidade: IME

    Assunto: INFERÊNCIA PARAMÉTRICA

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      PINHEIRO, Eliane Cantinho e FERRARI, Sílvia Lopes de Paula e MEDEIROS, Francisco Moisés Cândido de. Higher-order approximate confidence intervals. Journal of Statistical Planning and Inference, v. 213, p. 206-221, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.jspi.2020.11.013. Acesso em: 13 jun. 2024.
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      Pinheiro, E. C., Ferrari, S. L. de P., & Medeiros, F. M. C. de. (2021). Higher-order approximate confidence intervals. Journal of Statistical Planning and Inference, 213, 206-221. doi:10.1016/j.jspi.2020.11.013
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      Pinheiro EC, Ferrari SL de P, Medeiros FMC de. Higher-order approximate confidence intervals [Internet]. Journal of Statistical Planning and Inference. 2021 ; 213 206-221.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1016/j.jspi.2020.11.013
    • Vancouver

      Pinheiro EC, Ferrari SL de P, Medeiros FMC de. Higher-order approximate confidence intervals [Internet]. Journal of Statistical Planning and Inference. 2021 ; 213 206-221.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1016/j.jspi.2020.11.013
  • Source: Journal of Statistical Planning and Inference. Unidade: IME

    Assunto: MODELOS LINEARES GENERALIZADOS

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      LEMONTE, Artur José e FERRARI, Sílvia Lopes de Paula. Signed likelihood ratio tests in the Birnbaum-Saunders regression model. Journal of Statistical Planning and Inference, v. 141, n. 2, p. 1031-1040, 2011Tradução . . Disponível em: https://doi.org/10.1016/j.jspi.2010.09.007. Acesso em: 13 jun. 2024.
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      Lemonte, A. J., & Ferrari, S. L. de P. (2011). Signed likelihood ratio tests in the Birnbaum-Saunders regression model. Journal of Statistical Planning and Inference, 141( 2), 1031-1040. doi:10.1016/j.jspi.2010.09.007
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      Lemonte AJ, Ferrari SL de P. Signed likelihood ratio tests in the Birnbaum-Saunders regression model [Internet]. Journal of Statistical Planning and Inference. 2011 ; 141( 2): 1031-1040.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1016/j.jspi.2010.09.007
    • Vancouver

      Lemonte AJ, Ferrari SL de P. Signed likelihood ratio tests in the Birnbaum-Saunders regression model [Internet]. Journal of Statistical Planning and Inference. 2011 ; 141( 2): 1031-1040.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1016/j.jspi.2010.09.007
  • Source: Journal of Statistical Planning and Inference. Unidades: ICMC, IME

    Assunto: INFERÊNCIA BAYESIANA

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      CANCHO, Vicente Garibay e ORTEGA, Edwin Moisés Marcos e PAULA, Gilberto Alvarenga. On estimation and influence diagnostics for log-Birnbaum-Saunders Student-t regression models: Full Bayesian analysis. Journal of Statistical Planning and Inference, v. 140, n. 9, p. 2486-2496, 2010Tradução . . Disponível em: https://doi.org/10.1016/j.jspi.2010.02.017. Acesso em: 13 jun. 2024.
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      Cancho, V. G., Ortega, E. M. M., & Paula, G. A. (2010). On estimation and influence diagnostics for log-Birnbaum-Saunders Student-t regression models: Full Bayesian analysis. Journal of Statistical Planning and Inference, 140( 9), 2486-2496. doi:10.1016/j.jspi.2010.02.017
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      Cancho VG, Ortega EMM, Paula GA. On estimation and influence diagnostics for log-Birnbaum-Saunders Student-t regression models: Full Bayesian analysis [Internet]. Journal of Statistical Planning and Inference. 2010 ; 140( 9): 2486-2496.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1016/j.jspi.2010.02.017
    • Vancouver

      Cancho VG, Ortega EMM, Paula GA. On estimation and influence diagnostics for log-Birnbaum-Saunders Student-t regression models: Full Bayesian analysis [Internet]. Journal of Statistical Planning and Inference. 2010 ; 140( 9): 2486-2496.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1016/j.jspi.2010.02.017
  • Source: Journal of Statistical Planning and Inference. Unidade: IME

    Assunto: INFERÊNCIA ESTATÍSTICA

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      GIAMPAOLI, Viviana e SINGER, Júlio da Motta. Likelihood ratio tests for variance components in linear mixed models. Journal of Statistical Planning and Inference, v. 139, n. 4, p. 1435-1448, 2009Tradução . . Disponível em: https://doi.org/10.1016/j.jspi.2008.06.016. Acesso em: 13 jun. 2024.
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      Giampaoli, V., & Singer, J. da M. (2009). Likelihood ratio tests for variance components in linear mixed models. Journal of Statistical Planning and Inference, 139( 4), 1435-1448. doi:10.1016/j.jspi.2008.06.016
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      Giampaoli V, Singer J da M. Likelihood ratio tests for variance components in linear mixed models [Internet]. Journal of Statistical Planning and Inference. 2009 ; 139( 4): 1435-1448.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1016/j.jspi.2008.06.016
    • Vancouver

      Giampaoli V, Singer J da M. Likelihood ratio tests for variance components in linear mixed models [Internet]. Journal of Statistical Planning and Inference. 2009 ; 139( 4): 1435-1448.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1016/j.jspi.2008.06.016
  • Source: Journal of Statistical Planning and Inference. Unidade: IME

    Assunto: ANÁLISE DE SOBREVIVÊNCIA

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      TUNES, Gisela e SEN, Pranab Kumar e LIMA, Antonio Carlos Pedroso de. Estimation of the mean quality-adjusted survival using a multistate model for the sojourn times. Journal of Statistical Planning and Inference, v. 138, n. 8, p. 2267-2282, 2008Tradução . . Disponível em: https://doi.org/10.1016/j.jspi.2007.10.010. Acesso em: 13 jun. 2024.
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      Tunes, G., Sen, P. K., & Lima, A. C. P. de. (2008). Estimation of the mean quality-adjusted survival using a multistate model for the sojourn times. Journal of Statistical Planning and Inference, 138( 8), 2267-2282. doi:10.1016/j.jspi.2007.10.010
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      Tunes G, Sen PK, Lima ACP de. Estimation of the mean quality-adjusted survival using a multistate model for the sojourn times [Internet]. Journal of Statistical Planning and Inference. 2008 ; 138( 8): 2267-2282.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1016/j.jspi.2007.10.010
    • Vancouver

      Tunes G, Sen PK, Lima ACP de. Estimation of the mean quality-adjusted survival using a multistate model for the sojourn times [Internet]. Journal of Statistical Planning and Inference. 2008 ; 138( 8): 2267-2282.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1016/j.jspi.2007.10.010
  • Source: Journal of Statistical Planning and Inference. Unidade: IME

    Subjects: AMOSTRAGEM, ANÁLISE MULTIVARIADA

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      STANEK III, Edward J e SINGER, Júlio da Motta. Predicting random effects with an expanded finite population mixed model. Journal of Statistical Planning and Inference, v. 138, n. 10, p. 2991-3004, 2008Tradução . . Disponível em: https://doi.org/10.1016/j.jspi.2007.11.012. Acesso em: 13 jun. 2024.
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      Stanek III, E. J., & Singer, J. da M. (2008). Predicting random effects with an expanded finite population mixed model. Journal of Statistical Planning and Inference, 138( 10), 2991-3004. doi:10.1016/j.jspi.2007.11.012
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      Stanek III EJ, Singer J da M. Predicting random effects with an expanded finite population mixed model [Internet]. Journal of Statistical Planning and Inference. 2008 ; 138( 10): 2991-3004.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1016/j.jspi.2007.11.012
    • Vancouver

      Stanek III EJ, Singer J da M. Predicting random effects with an expanded finite population mixed model [Internet]. Journal of Statistical Planning and Inference. 2008 ; 138( 10): 2991-3004.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1016/j.jspi.2007.11.012
  • Source: Journal of Statistical Planning and Inference. Unidade: IME

    Subjects: AMOSTRAGEM, ANÁLISE MULTIVARIADA

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      STANEK, Edward J e SINGER, Júlio da Motta e LENCINA, Viviana Beatriz. A unified approach to estimation and prediction under simple random sampling. Journal of Statistical Planning and Inference, v. 121, n. 2, p. 325-338, 2004Tradução . . Disponível em: https://doi.org/10.1016/s0378-3758(03)00114-9. Acesso em: 13 jun. 2024.
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      Stanek, E. J., Singer, J. da M., & Lencina, V. B. (2004). A unified approach to estimation and prediction under simple random sampling. Journal of Statistical Planning and Inference, 121( 2), 325-338. doi:10.1016/s0378-3758(03)00114-9
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      Stanek EJ, Singer J da M, Lencina VB. A unified approach to estimation and prediction under simple random sampling [Internet]. Journal of Statistical Planning and Inference. 2004 ; 121( 2): 325-338.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1016/s0378-3758(03)00114-9
    • Vancouver

      Stanek EJ, Singer J da M, Lencina VB. A unified approach to estimation and prediction under simple random sampling [Internet]. Journal of Statistical Planning and Inference. 2004 ; 121( 2): 325-338.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1016/s0378-3758(03)00114-9
  • Source: Journal of Statistical Planning and Inference. Unidade: IME

    Subjects: TESTES DE HIPÓTESES, INFERÊNCIA BAYESIANA

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      MADRUGA, Maria Regina e PEREIRA, Carlos Alberto de Bragança e STERN, Julio Michael. Bayesian evidence test for precise hypotheses. Journal of Statistical Planning and Inference, v. 117, n. 2, p. 185-198, 2003Tradução . . Disponível em: https://doi.org/10.1016/S0378-3758(02)00368-3. Acesso em: 13 jun. 2024.
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      Madruga, M. R., Pereira, C. A. de B., & Stern, J. M. (2003). Bayesian evidence test for precise hypotheses. Journal of Statistical Planning and Inference, 117( 2), 185-198. doi:10.1016/S0378-3758(02)00368-3
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      Madruga MR, Pereira CA de B, Stern JM. Bayesian evidence test for precise hypotheses [Internet]. Journal of Statistical Planning and Inference. 2003 ; 117( 2): 185-198.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1016/S0378-3758(02)00368-3
    • Vancouver

      Madruga MR, Pereira CA de B, Stern JM. Bayesian evidence test for precise hypotheses [Internet]. Journal of Statistical Planning and Inference. 2003 ; 117( 2): 185-198.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1016/S0378-3758(02)00368-3
  • Source: Journal of Statistical Planning and Inference. Unidade: IME

    Subjects: INFERÊNCIA BAYESIANA, REGRESSÃO LINEAR

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      BOLFARINE, Heleno e GASCO, Loretta B e ZUAZOLA, Pilar Loreto Iglesias. Inference under representable priors for Pearson type II models in finite populations. Journal of Statistical Planning and Inference, v. 111, n. 1-2, p. 23-36, 2003Tradução . . Disponível em: https://doi.org/10.1016/s0378-3758(02)00283-5. Acesso em: 13 jun. 2024.
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      Bolfarine, H., Gasco, L. B., & Zuazola, P. L. I. (2003). Inference under representable priors for Pearson type II models in finite populations. Journal of Statistical Planning and Inference, 111( 1-2), 23-36. doi:10.1016/s0378-3758(02)00283-5
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      Bolfarine H, Gasco LB, Zuazola PLI. Inference under representable priors for Pearson type II models in finite populations [Internet]. Journal of Statistical Planning and Inference. 2003 ; 111( 1-2): 23-36.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1016/s0378-3758(02)00283-5
    • Vancouver

      Bolfarine H, Gasco LB, Zuazola PLI. Inference under representable priors for Pearson type II models in finite populations [Internet]. Journal of Statistical Planning and Inference. 2003 ; 111( 1-2): 23-36.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1016/s0378-3758(02)00283-5
  • Source: Journal of Statistical Planning and Inference. Unidade: IME

    Subjects: INFERÊNCIA ESTATÍSTICA, REGRESSÃO LINEAR

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      GIMENEZ, Patrícia Cristina e BOLFARINE, Heleno. Comparing consistent estimators in comparative calibration models. Journal of Statistical Planning and Inference, v. 86, n. 1, p. 143-155, 2000Tradução . . Disponível em: https://doi.org/10.1016/S0378-3758(99)00171-8. Acesso em: 13 jun. 2024.
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      Gimenez, P. C., & Bolfarine, H. (2000). Comparing consistent estimators in comparative calibration models. Journal of Statistical Planning and Inference, 86( 1), 143-155. doi:10.1016/S0378-3758(99)00171-8
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      Gimenez PC, Bolfarine H. Comparing consistent estimators in comparative calibration models [Internet]. Journal of Statistical Planning and Inference. 2000 ; 86( 1): 143-155.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1016/S0378-3758(99)00171-8
    • Vancouver

      Gimenez PC, Bolfarine H. Comparing consistent estimators in comparative calibration models [Internet]. Journal of Statistical Planning and Inference. 2000 ; 86( 1): 143-155.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1016/S0378-3758(99)00171-8
  • Source: Journal of Statistical Planning and Inference. Unidade: IME

    Assunto: INFERÊNCIA ESTATÍSTICA

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      BRANCO, Marcia D'Elia et al. Bayesian analysis of the calibration problem under elliptical distributions. Journal of Statistical Planning and Inference, v. 90, n. 1, p. 69-85, 2000Tradução . . Disponível em: https://doi.org/10.1016/S0378-3758(00)00110-5. Acesso em: 13 jun. 2024.
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      Branco, M. D. 'E., Bolfarine, H., Zuazola, P. L. I., & Arellano-Valle, R. B. (2000). Bayesian analysis of the calibration problem under elliptical distributions. Journal of Statistical Planning and Inference, 90( 1), 69-85. doi:10.1016/S0378-3758(00)00110-5
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      Branco MD'E, Bolfarine H, Zuazola PLI, Arellano-Valle RB. Bayesian analysis of the calibration problem under elliptical distributions [Internet]. Journal of Statistical Planning and Inference. 2000 ; 90( 1): 69-85.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1016/S0378-3758(00)00110-5
    • Vancouver

      Branco MD'E, Bolfarine H, Zuazola PLI, Arellano-Valle RB. Bayesian analysis of the calibration problem under elliptical distributions [Internet]. Journal of Statistical Planning and Inference. 2000 ; 90( 1): 69-85.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1016/S0378-3758(00)00110-5
  • Source: Journal of Statistical Planning and Inference. Unidade: IME

    Assunto: ANÁLISE DE SOBREVIVÊNCIA

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      LIMA, Antonio Carlos Pedroso de e SEN, Pranab K. Time-dependent coefficients in a multi-event model for survival analysis. Journal of Statistical Planning and Inference, v. 75, n. 2, p. 393-414, 1999Tradução . . Disponível em: https://doi.org/10.1016/s0378-3758(98)00157-8. Acesso em: 13 jun. 2024.
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      Lima, A. C. P. de, & Sen, P. K. (1999). Time-dependent coefficients in a multi-event model for survival analysis. Journal of Statistical Planning and Inference, 75( 2), 393-414. doi:10.1016/s0378-3758(98)00157-8
    • NLM

      Lima ACP de, Sen PK. Time-dependent coefficients in a multi-event model for survival analysis [Internet]. Journal of Statistical Planning and Inference. 1999 ; 75( 2): 393-414.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1016/s0378-3758(98)00157-8
    • Vancouver

      Lima ACP de, Sen PK. Time-dependent coefficients in a multi-event model for survival analysis [Internet]. Journal of Statistical Planning and Inference. 1999 ; 75( 2): 393-414.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1016/s0378-3758(98)00157-8
  • Source: Journal of Statistical Planning and Inference. Unidade: IME

    Assunto: INFERÊNCIA ESTATÍSTICA

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      BOLFARINE, Heleno e ZACKS, Shelemyahu e SANDOVAL, Mônica Carneiro. On predicting the population total under regression models measurement errors. Journal of Statistical Planning and Inference, v. 55, p. 63-76, 1996Tradução . . Disponível em: https://doi.org/10.1016/0378-3758(95)00181-6. Acesso em: 13 jun. 2024.
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      Bolfarine, H., Zacks, S., & Sandoval, M. C. (1996). On predicting the population total under regression models measurement errors. Journal of Statistical Planning and Inference, 55, 63-76. doi:10.1016/0378-3758(95)00181-6
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      Bolfarine H, Zacks S, Sandoval MC. On predicting the population total under regression models measurement errors [Internet]. Journal of Statistical Planning and Inference. 1996 ; 55 63-76.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1016/0378-3758(95)00181-6
    • Vancouver

      Bolfarine H, Zacks S, Sandoval MC. On predicting the population total under regression models measurement errors [Internet]. Journal of Statistical Planning and Inference. 1996 ; 55 63-76.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1016/0378-3758(95)00181-6
  • Source: Journal of Statistical Planning and Inference. Unidade: IME

    Assunto: INFERÊNCIA ESTATÍSTICA

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      BOLFARINE, Heleno e ZACKS, S. Bayes and minimax prediction in finite populations. Journal of Statistical Planning and Inference, v. 28, n. ju 1991, p. 139-51, 1991Tradução . . Disponível em: https://doi.org/10.1016/0378-3758(91)90022-7. Acesso em: 13 jun. 2024.
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      Bolfarine, H., & Zacks, S. (1991). Bayes and minimax prediction in finite populations. Journal of Statistical Planning and Inference, 28( ju 1991), 139-51. doi:10.1016/0378-3758(91)90022-7
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      Bolfarine H, Zacks S. Bayes and minimax prediction in finite populations [Internet]. Journal of Statistical Planning and Inference. 1991 ;28( ju 1991): 139-51.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1016/0378-3758(91)90022-7
    • Vancouver

      Bolfarine H, Zacks S. Bayes and minimax prediction in finite populations [Internet]. Journal of Statistical Planning and Inference. 1991 ;28( ju 1991): 139-51.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1016/0378-3758(91)90022-7
  • Source: Journal of Statistical Planning and Inference. Unidade: IME

    Subjects: INFERÊNCIA PARAMÉTRICA, INFERÊNCIA NÃO PARAMÉTRICA

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      ZACKS, Shelemyahu e PEREIRA, Carlos Alberto de Bragança e LEITE, Jose Galvao. Bayes sequential estimation of the size of a finite population. Journal of Statistical Planning and Inference, v. 25, n. 3 , p. 363-380, 1990Tradução . . Disponível em: https://doi.org/10.1016/0378-3758(90)90082-6. Acesso em: 13 jun. 2024.
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      Zacks, S., Pereira, C. A. de B., & Leite, J. G. (1990). Bayes sequential estimation of the size of a finite population. Journal of Statistical Planning and Inference, 25( 3 ), 363-380. doi:10.1016/0378-3758(90)90082-6
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      Zacks S, Pereira CA de B, Leite JG. Bayes sequential estimation of the size of a finite population [Internet]. Journal of Statistical Planning and Inference. 1990 ; 25( 3 ): 363-380.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1016/0378-3758(90)90082-6
    • Vancouver

      Zacks S, Pereira CA de B, Leite JG. Bayes sequential estimation of the size of a finite population [Internet]. Journal of Statistical Planning and Inference. 1990 ; 25( 3 ): 363-380.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1016/0378-3758(90)90082-6
  • Source: Journal of Statistical Planning and Inference. Unidade: IME

    Subjects: INFERÊNCIA BAYESIANA, TABELAS DE CONTINGÊNCIA

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      BASU, Debabrata e PEREIRA, Carlos Alberto de Bragança. On the Bayesian analysis of categorical data: the problem of nonresponse. Journal of Statistical Planning and Inference, v. 6, n. 4, p. 345-362, 1982Tradução . . Disponível em: https://doi.org/10.1016/0378-3758(82)90004-0. Acesso em: 13 jun. 2024.
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      Basu, D., & Pereira, C. A. de B. (1982). On the Bayesian analysis of categorical data: the problem of nonresponse. Journal of Statistical Planning and Inference, 6( 4), 345-362. doi:10.1016/0378-3758(82)90004-0
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      Basu D, Pereira CA de B. On the Bayesian analysis of categorical data: the problem of nonresponse [Internet]. Journal of Statistical Planning and Inference. 1982 ; 6( 4): 345-362.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1016/0378-3758(82)90004-0
    • Vancouver

      Basu D, Pereira CA de B. On the Bayesian analysis of categorical data: the problem of nonresponse [Internet]. Journal of Statistical Planning and Inference. 1982 ; 6( 4): 345-362.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1016/0378-3758(82)90004-0

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