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Artigo de periodico
Penalized complexity priors for the skewness parameter of power links (2024)
Ordoñez, Jose A ; Prates, Marcos Oliveira ; Bazán Guzmán, Jorge Luis ; Lachos, Victor Hugo
Source: Canadian Journal of Statistics. Unidade: ICMC
Subjects: DISTRIBUIÇÃO T, SIMULAÇÃO (ESTATÍSTICA), INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ORDOÑEZ, Jose A et al. Penalized complexity priors for the skewness parameter of power links. Canadian Journal of Statistics, v. 52, n. 1, p. 98-117, 2024Tradução . . Disponível em: https://doi.org/10.1002/cjs.11769. Acesso em: 06 nov. 2024.
APA
Ordoñez, J. A., Prates, M. O., Bazán Guzmán, J. L., & Lachos, V. H. (2024). Penalized complexity priors for the skewness parameter of power links. Canadian Journal of Statistics, 52( 1), 98-117. doi:10.1002/cjs.11769
NLM
Ordoñez JA, Prates MO, Bazán Guzmán JL, Lachos VH. Penalized complexity priors for the skewness parameter of power links [Internet]. Canadian Journal of Statistics. 2024 ; 52( 1): 98-117.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1002/cjs.11769
Vancouver
Ordoñez JA, Prates MO, Bazán Guzmán JL, Lachos VH. Penalized complexity priors for the skewness parameter of power links [Internet]. Canadian Journal of Statistics. 2024 ; 52( 1): 98-117.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1002/cjs.11769
Artigo de periodico
A method of empirical Q-matrix validation for multidimensional item response theory (2024)
Silva, Marcelo Andrade da ; Huggins-Manley, Anne Corinne ; Bazán Guzmán, Jorge Luis ; Benedict, Amber
Source: Applied Measurement in Education. Unidades: ICMC, ESALQ
Subjects: ESTATÍSTICA ESCOLAR, ESTUDANTES DE ENSINO FUNDAMENTAL, MATRIZES, MODELOS MATEMÁTICOS, SIMULAÇÃO, TEORIA DE RESPOSTA AO ITEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Marcelo Andrade da et al. A method of empirical Q-matrix validation for multidimensional item response theory. Applied Measurement in Education, v. 37, n. 2, p. 177-190, 2024Tradução . . Disponível em: https://doi.org/10.1080/08957347.2024.2345597. Acesso em: 06 nov. 2024.
APA
Silva, M. A. da, Huggins-Manley, A. C., Bazán Guzmán, J. L., & Benedict, A. (2024). A method of empirical Q-matrix validation for multidimensional item response theory. Applied Measurement in Education, 37( 2), 177-190. doi:10.1080/08957347.2024.2345597
NLM
Silva MA da, Huggins-Manley AC, Bazán Guzmán JL, Benedict A. A method of empirical Q-matrix validation for multidimensional item response theory [Internet]. Applied Measurement in Education. 2024 ; 37( 2): 177-190.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1080/08957347.2024.2345597
Vancouver
Silva MA da, Huggins-Manley AC, Bazán Guzmán JL, Benedict A. A method of empirical Q-matrix validation for multidimensional item response theory [Internet]. Applied Measurement in Education. 2024 ; 37( 2): 177-190.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1080/08957347.2024.2345597
Artigo de periodico
Bayesian estimation of multidimensional polytomous item response theory models with Q-matrices using Stan (2023)
Silva, Marcelo Andrade da ; Liu, Ren ; Huggins-Manley, Anne Corinne ; Bazán Guzmán, Jorge Luis
Source: Communications in Statistics - Simulation and Computation. Unidades: ESALQ, ICMC
Subjects: INFERÊNCIA BAYESIANA, MODELOS MATEMÁTICOS, SOFTWARES, TEORIA DE RESPOSTA AO ITEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Marcelo Andrade da et al. Bayesian estimation of multidimensional polytomous item response theory models with Q-matrices using Stan. Communications in Statistics - Simulation and Computation, v. 52, n. 11, p. 5178-5194, 2023Tradução . . Disponível em: https://doi.org/10.1080/03610918.2021.1977951. Acesso em: 06 nov. 2024.
APA
Silva, M. A. da, Liu, R., Huggins-Manley, A. C., & Bazán Guzmán, J. L. (2023). Bayesian estimation of multidimensional polytomous item response theory models with Q-matrices using Stan. Communications in Statistics - Simulation and Computation, 52( 11), 5178-5194. doi:10.1080/03610918.2021.1977951
NLM
Silva MA da, Liu R, Huggins-Manley AC, Bazán Guzmán JL. Bayesian estimation of multidimensional polytomous item response theory models with Q-matrices using Stan [Internet]. Communications in Statistics - Simulation and Computation. 2023 ; 52( 11): 5178-5194.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1080/03610918.2021.1977951
Vancouver
Silva MA da, Liu R, Huggins-Manley AC, Bazán Guzmán JL. Bayesian estimation of multidimensional polytomous item response theory models with Q-matrices using Stan [Internet]. Communications in Statistics - Simulation and Computation. 2023 ; 52( 11): 5178-5194.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1080/03610918.2021.1977951
Artigo de periodico
Zero and one inflated item response theory models for bounded continuous data (2022)
Molenaar, Dylan ; Cúri, Mariana ; Bazán Guzmán, Jorge Luis
Source: Journal of Educational and Behavioral Statistics. Unidade: ICMC
Subjects: TEORIA DE RESPOSTA AO ITEM, INFERÊNCIA BAYESIANA, SIMULAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOLENAAR, Dylan e CÚRI, Mariana e BAZÁN GUZMÁN, Jorge Luis. Zero and one inflated item response theory models for bounded continuous data. Journal of Educational and Behavioral Statistics, v. 47, n. 6, p. 693-735, 2022Tradução . . Disponível em: https://doi.org/10.3102/10769986221108455. Acesso em: 06 nov. 2024.
APA
Molenaar, D., Cúri, M., & Bazán Guzmán, J. L. (2022). Zero and one inflated item response theory models for bounded continuous data. Journal of Educational and Behavioral Statistics, 47( 6), 693-735. doi:10.3102/10769986221108455
NLM
Molenaar D, Cúri M, Bazán Guzmán JL. Zero and one inflated item response theory models for bounded continuous data [Internet]. Journal of Educational and Behavioral Statistics. 2022 ; 47( 6): 693-735.[citado 2024 nov. 06 ] Available from: https://doi.org/10.3102/10769986221108455
Vancouver
Molenaar D, Cúri M, Bazán Guzmán JL. Zero and one inflated item response theory models for bounded continuous data [Internet]. Journal of Educational and Behavioral Statistics. 2022 ; 47( 6): 693-735.[citado 2024 nov. 06 ] Available from: https://doi.org/10.3102/10769986221108455
Artigo de periodico
Spatial regression models for bounded response variables with evaluation of the degree of dependence (2021)
Ari, Sandra Elizabeth Flores ; Prates, Marcos Oliveira ; Bazán Guzmán, Jorge Luis ; Bolfarine, Heleno
Source: Statistics and Its Interface. Unidades: ICMC, IME
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 06 nov. 2024.
APA
Ari, S. E. F., Prates, M. O., Bazán Guzmán, 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 Guzmán 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 2024 nov. 06 ] Available from: https://doi.org/10.4310/20-SII617
Vancouver
Ari SEF, Prates MO, Bazán Guzmán 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 2024 nov. 06 ] Available from: https://doi.org/10.4310/20-SII617
Artigo de periodico
A flexible procedure for formulating probability distributions on the unit interval with applications (2020)
Rodrigues, Josemar ; Bazán Guzmán, Jorge Luis ; Suzuki, Adriano Kamimura
Source: Communications in Statistics - Theory and Methods. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, DISTRIBUIÇÕES (PROBABILIDADE), DISTRIBUIÇÃO LOGÍSTICA, GEOMETRIA E MODELAGEM COMPUTACIONAL, MATEMÁTICA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, ANÁLISE MULTIVARIADA, REGRESSÃO LOGÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RODRIGUES, Josemar e BAZÁN GUZMÁN, Jorge Luis e SUZUKI, Adriano Kamimura. A flexible procedure for formulating probability distributions on the unit interval with applications. Communications in Statistics - Theory and Methods, v. 49, n. 3, p. 738-754, 2020Tradução . . Disponível em: https://doi.org/10.1080/03610926.2018.1549254. Acesso em: 06 nov. 2024.
APA
Rodrigues, J., Bazán Guzmán, J. L., & Suzuki, A. K. (2020). A flexible procedure for formulating probability distributions on the unit interval with applications. Communications in Statistics - Theory and Methods, 49( 3), 738-754. doi:10.1080/03610926.2018.1549254
NLM
Rodrigues J, Bazán Guzmán JL, Suzuki AK. A flexible procedure for formulating probability distributions on the unit interval with applications [Internet]. Communications in Statistics - Theory and Methods. 2020 ; 49( 3): 738-754.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1080/03610926.2018.1549254
Vancouver
Rodrigues J, Bazán Guzmán JL, Suzuki AK. A flexible procedure for formulating probability distributions on the unit interval with applications [Internet]. Communications in Statistics - Theory and Methods. 2020 ; 49( 3): 738-754.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1080/03610926.2018.1549254
Artigo de periodico
Sensitivity analysis and choosing between alternative polytomous IRT models using bayesian model comparison criteria (2019)
Silva, Marcelo A. da; Bazán Guzmán, Jorge Luis ; Huggins-Manley, Anne Corinne
Source: Communications in Statistics - Simulation and Computation. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, CRÉDITO, RESPOSTAS, TEORIA DE RESPOSTA AO ITEM, MODELOS, MÉTODO DE MONTE CARLO, SIMULAÇÃO DE SISTEMAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Marcelo A. da e BAZÁN GUZMÁN, Jorge Luis e HUGGINS-MANLEY, Anne Corinne. Sensitivity analysis and choosing between alternative polytomous IRT models using bayesian model comparison criteria. Communications in Statistics - Simulation and Computation, v. Fe 2019, n. 2, p. 601-620, 2019Tradução . . Disponível em: https://doi.org/10.1080/03610918.2017.1390126. Acesso em: 06 nov. 2024.
APA
Silva, M. A. da, Bazán Guzmán, J. L., & Huggins-Manley, A. C. (2019). Sensitivity analysis and choosing between alternative polytomous IRT models using bayesian model comparison criteria. Communications in Statistics - Simulation and Computation, Fe 2019( 2), 601-620. doi:10.1080/03610918.2017.1390126
NLM
Silva MA da, Bazán Guzmán JL, Huggins-Manley AC. Sensitivity analysis and choosing between alternative polytomous IRT models using bayesian model comparison criteria [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; Fe 2019( 2): 601-620.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1080/03610918.2017.1390126
Vancouver
Silva MA da, Bazán Guzmán JL, Huggins-Manley AC. Sensitivity analysis and choosing between alternative polytomous IRT models using bayesian model comparison criteria [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; Fe 2019( 2): 601-620.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1080/03610918.2017.1390126
Artigo de periodico
Incorporating the Q-Matrix into multidimensional item response theory models (2019)
Silva, Marcelo A. da; Liu, Ren; Bazán Guzmán, Jorge Luis ; Huggins-Manley, Anne C.
Source: Educational and Psychological Measurement. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, DIAGNÓSTICO, TEORIA DE RESPOSTA AO ITEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Marcelo A. da et al. Incorporating the Q-Matrix into multidimensional item response theory models. Educational and Psychological Measurement, v. 79, n. 4, p. 665-687, 2019Tradução . . Disponível em: https://doi.org/10.1177/0013164418814898. Acesso em: 06 nov. 2024.
APA
Silva, M. A. da, Liu, R., Bazán Guzmán, J. L., & Huggins-Manley, A. C. (2019). Incorporating the Q-Matrix into multidimensional item response theory models. Educational and Psychological Measurement, 79( 4), 665-687. doi:10.1177/0013164418814898
NLM
Silva MA da, Liu R, Bazán Guzmán JL, Huggins-Manley AC. Incorporating the Q-Matrix into multidimensional item response theory models [Internet]. Educational and Psychological Measurement. 2019 ; 79( 4): 665-687.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1177/0013164418814898
Vancouver
Silva MA da, Liu R, Bazán Guzmán JL, Huggins-Manley AC. Incorporating the Q-Matrix into multidimensional item response theory models [Internet]. Educational and Psychological Measurement. 2019 ; 79( 4): 665-687.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1177/0013164418814898
Artigo de periodico
A quantile parametric mixed regression model for bounded response variables (2017)
Bayes, Cristian L.; Bazán Guzmán, Jorge Luis ; Castro, Mário de
Source: Statistics and Its Interface. Unidade: ICMC
Subjects: INFERÊNCIA PARAMÉTRICA, PROBABILIDADE, INFERÊNCIA BAYESIANA, ESTATÍSTICA, ESTATÍSTICA APLICADA, MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BAYES, Cristian L. e BAZÁN GUZMÁN, Jorge Luis e CASTRO, Mário de. A quantile parametric mixed regression model for bounded response variables. Statistics and Its Interface, v. 10, n. 3, p. 483-493, 2017Tradução . . Disponível em: https://doi.org/10.4310/SII.2017.v10.n3.a11. Acesso em: 06 nov. 2024.
APA
Bayes, C. L., Bazán Guzmán, J. L., & Castro, M. de. (2017). A quantile parametric mixed regression model for bounded response variables. Statistics and Its Interface, 10( 3), 483-493. doi:10.4310/SII.2017.v10.n3.a11
NLM
Bayes CL, Bazán Guzmán JL, Castro M de. A quantile parametric mixed regression model for bounded response variables [Internet]. Statistics and Its Interface. 2017 ; 10( 3): 483-493.[citado 2024 nov. 06 ] Available from: https://doi.org/10.4310/SII.2017.v10.n3.a11
Vancouver
Bayes CL, Bazán Guzmán JL, Castro M de. A quantile parametric mixed regression model for bounded response variables [Internet]. Statistics and Its Interface. 2017 ; 10( 3): 483-493.[citado 2024 nov. 06 ] Available from: https://doi.org/10.4310/SII.2017.v10.n3.a11
Artigo de periodico
Power and reversal power links for binary regressions: an application for motor insurance policyholders (2017)
Bazán Guzmán, Jorge Luis ; Torres-Avilés, F; Suzuki, Adriano Kamimura ; Louzada, Francisco
Source: Applied Stochastic Models in Business and Industry. Unidade: ICMC
Subjects: INFERÊNCIA PARAMÉTRICA, PROBABILIDADE, INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BAZÁN GUZMÁN, Jorge Luis et al. Power and reversal power links for binary regressions: an application for motor insurance policyholders. Applied Stochastic Models in Business and Industry, v. Jan./Fe 2017, n. 1, p. 22-34, 2017Tradução . . Disponível em: https://doi.org/10.1002/asmb.2215. Acesso em: 06 nov. 2024.
APA
Bazán Guzmán, J. L., Torres-Avilés, F., Suzuki, A. K., & Louzada, F. (2017). Power and reversal power links for binary regressions: an application for motor insurance policyholders. Applied Stochastic Models in Business and Industry, Jan./Fe 2017( 1), 22-34. doi:10.1002/asmb.2215
NLM
Bazán Guzmán JL, Torres-Avilés F, Suzuki AK, Louzada F. Power and reversal power links for binary regressions: an application for motor insurance policyholders [Internet]. Applied Stochastic Models in Business and Industry. 2017 ; Jan./Fe 2017( 1): 22-34.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1002/asmb.2215
Vancouver
Bazán Guzmán JL, Torres-Avilés F, Suzuki AK, Louzada F. Power and reversal power links for binary regressions: an application for motor insurance policyholders [Internet]. Applied Stochastic Models in Business and Industry. 2017 ; Jan./Fe 2017( 1): 22-34.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1002/asmb.2215

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