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Artigo de periodico
A new flexible regression model with application to recovery probability Covid-19 patients (2024)
Prataviera, Fabio ; Hashimoto, Elisabeth Mie ; Ortega, Edwin Moises Marcos ; Cordeiro, Gauss Moutinho ; Cancho, Vicente Garibay ; Vila, Roberto
Fonte: Journal of Applied Statistics. Unidades: ESALQ, ICMC
Assuntos: COVID-19, DADOS CENSURADOS, DISTRIBUIÇÕES (PROBABILIDADE)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PRATAVIERA, Fabio et al. A new flexible regression model with application to recovery probability Covid-19 patients. Journal of Applied Statistics, v. 51, n. 5, p. 826-844, 2024Tradução . . Disponível em: https://doi.org/10.1080/02664763.2022.2163229. Acesso em: 02 out. 2024.
APA
Prataviera, F., Hashimoto, E. M., Ortega, E. M. M., Cordeiro, G. M., Cancho, V. G., & Vila, R. (2024). A new flexible regression model with application to recovery probability Covid-19 patients. Journal of Applied Statistics, 51( 5), 826-844. doi:10.1080/02664763.2022.2163229
NLM
Prataviera F, Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Vila R. A new flexible regression model with application to recovery probability Covid-19 patients [Internet]. Journal of Applied Statistics. 2024 ; 51( 5): 826-844.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2022.2163229
Vancouver
Prataviera F, Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Vila R. A new flexible regression model with application to recovery probability Covid-19 patients [Internet]. Journal of Applied Statistics. 2024 ; 51( 5): 826-844.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2022.2163229
Artigo de periodico
Conformal normal curvature and detection of masked observations in multivariate null intercept measurement error models (2024)
Aoki, Reiko ; Bustamante, Juan Pablo Mamani ; Russo, Cibele Maria ; Paula, Gilberto Alvarenga
Fonte: Journal of Applied Statistics. Unidades: ICMC, IME, INTER: ICMC -UFSCAR
Assunto: ANÁLISE MULTIVARIADA
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ABNT
AOKI, Reiko et al. Conformal normal curvature and detection of masked observations in multivariate null intercept measurement error models. Journal of Applied Statistics, v. 51, n. 8, p. 1545-1569, 2024Tradução . . Disponível em: https://doi.org/10.1080/02664763.2023.2212332. Acesso em: 02 out. 2024.
APA
Aoki, R., Bustamante, J. P. M., Russo, C. M., & Paula, G. A. (2024). Conformal normal curvature and detection of masked observations in multivariate null intercept measurement error models. Journal of Applied Statistics, 51( 8), 1545-1569. doi:10.1080/02664763.2023.2212332
NLM
Aoki R, Bustamante JPM, Russo CM, Paula GA. Conformal normal curvature and detection of masked observations in multivariate null intercept measurement error models [Internet]. Journal of Applied Statistics. 2024 ; 51( 8): 1545-1569.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2023.2212332
Vancouver
Aoki R, Bustamante JPM, Russo CM, Paula GA. Conformal normal curvature and detection of masked observations in multivariate null intercept measurement error models [Internet]. Journal of Applied Statistics. 2024 ; 51( 8): 1545-1569.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2023.2212332
Artigo de periodico
The generalized odd log-logistic-G regression with interval-censored survival data (2024)
Vigas, Valdemiro Piedade ; Ortega, Edwin Moises Marcos ; Suzuki, Adriano Kamimura ; Cordeiro, Gauss Moutinho ; Santos Junior, Paulo Cerqueira
Fonte: Journal of Applied Statistics. Unidades: ESALQ, ICMC
Assuntos: ANÁLISE DE SOBREVIVÊNCIA, DADOS CENSURADOS, INFERÊNCIA BAYESIANA, REGRESSÃO LOGÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VIGAS, Valdemiro Piedade et al. The generalized odd log-logistic-G regression with interval-censored survival data. Journal of Applied Statistics, v. 51, n. 9, p. 2024, 2024Tradução . . Disponível em: https://doi.org/10.1080/02664763.2023.2230533. Acesso em: 02 out. 2024.
APA
Vigas, V. P., Ortega, E. M. M., Suzuki, A. K., Cordeiro, G. M., & Santos Junior, P. C. (2024). The generalized odd log-logistic-G regression with interval-censored survival data. Journal of Applied Statistics, 51( 9), 2024. doi:10.1080/02664763.2023.2230533
NLM
Vigas VP, Ortega EMM, Suzuki AK, Cordeiro GM, Santos Junior PC. The generalized odd log-logistic-G regression with interval-censored survival data [Internet]. Journal of Applied Statistics. 2024 ; 51( 9): 2024.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2023.2230533
Vancouver
Vigas VP, Ortega EMM, Suzuki AK, Cordeiro GM, Santos Junior PC. The generalized odd log-logistic-G regression with interval-censored survival data [Internet]. Journal of Applied Statistics. 2024 ; 51( 9): 2024.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2023.2230533
Artigo de periodico
A new family of quantile regression models applied to nutritional data (2024)
Olmos, Isaac Esteban Cortés ; Castro, Mário de ; Mateluna, Diego Ignacio Gallardo
Fonte: Journal of Applied Statistics. Unidades: ICMC, INTER: ICMC -UFSCAR
Assuntos: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA
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ABNT
OLMOS, Isaac Esteban Cortés e CASTRO, Mário de e MATELUNA, Diego Ignacio Gallardo. A new family of quantile regression models applied to nutritional data. Journal of Applied Statistics, v. 51, n. 7, p. 1378-1398, 2024Tradução . . Disponível em: https://doi.org/10.1080/02664763.2023.2203882. Acesso em: 02 out. 2024.
APA
Olmos, I. E. C., Castro, M. de, & Mateluna, D. I. G. (2024). A new family of quantile regression models applied to nutritional data. Journal of Applied Statistics, 51( 7), 1378-1398. doi:10.1080/02664763.2023.2203882
NLM
Olmos IEC, Castro M de, Mateluna DIG. A new family of quantile regression models applied to nutritional data [Internet]. Journal of Applied Statistics. 2024 ; 51( 7): 1378-1398.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2023.2203882
Vancouver
Olmos IEC, Castro M de, Mateluna DIG. A new family of quantile regression models applied to nutritional data [Internet]. Journal of Applied Statistics. 2024 ; 51( 7): 1378-1398.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2023.2203882
Artigo de periodico
Ultrastructural calibration model for proficiency testing (2023)
Aoki, Reiko ; Leão, Dorival; Bustamante, Juan Pablo Mamani; Vilca, Filidor
Fonte: Journal of Applied Statistics. Unidades: ICMC, INTER: ICMC -UFSCAR
Assuntos: TEORIA ASSINTÓTICA, EDUÇÃO DE HIPÓTESES, LABORATÓRIOS
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ABNT
AOKI, Reiko et al. Ultrastructural calibration model for proficiency testing. Journal of Applied Statistics, v. 50, n. 5, p. 1037-1059, 2023Tradução . . Disponível em: https://doi.org/10.1080/02664763.2021.2012563. Acesso em: 02 out. 2024.
APA
Aoki, R., Leão, D., Bustamante, J. P. M., & Vilca, F. (2023). Ultrastructural calibration model for proficiency testing. Journal of Applied Statistics, 50( 5), 1037-1059. doi:10.1080/02664763.2021.2012563
NLM
Aoki R, Leão D, Bustamante JPM, Vilca F. Ultrastructural calibration model for proficiency testing [Internet]. Journal of Applied Statistics. 2023 ; 50( 5): 1037-1059.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2021.2012563
Vancouver
Aoki R, Leão D, Bustamante JPM, Vilca F. Ultrastructural calibration model for proficiency testing [Internet]. Journal of Applied Statistics. 2023 ; 50( 5): 1037-1059.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2021.2012563
Artigo de periodico
The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil (2023)
Hashimoto, Elisabeth Mie ; Ortega, Edwin Moiséis Marcos ; Cordeiro, Gauss Moutinho ; Cancho, Vicente Garibay ; Silva, I
Fonte: Journal of Applied Statistics. Unidades: ESALQ, ICMC
Assuntos: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, COVID-19, DADOS CENSURADOS, MODELOS MATEMÁTICOS, SISTEMA ÚNICO DE SAÚDE
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ABNT
HASHIMOTO, Elisabeth Mie et al. The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil. Journal of Applied Statistics, v. 50, n. 8, p. 1665-1685, 2023Tradução . . Disponível em: https://doi.org/10.1080/02664763.2022.2036707. Acesso em: 02 out. 2024.
APA
Hashimoto, E. M., Ortega, E. M. M., Cordeiro, G. M., Cancho, V. G., & Silva, I. (2023). The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil. Journal of Applied Statistics, 50( 8), 1665-1685. doi:10.1080/02664763.2022.2036707
NLM
Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Silva I. The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil [Internet]. Journal of Applied Statistics. 2023 ; 50( 8): 1665-1685.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2022.2036707
Vancouver
Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Silva I. The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil [Internet]. Journal of Applied Statistics. 2023 ; 50( 8): 1665-1685.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2022.2036707
Artigo de periodico
Fast inference for robust nonlinear mixed-effects models (2023)
Gomes, Jose Clelto Barros ; Aoki, Reiko ; Lachos, Victor Hugo ; Paula, Gilberto Alvarenga ; Russo, Cibele Maria
Fonte: Journal of Applied Statistics. Unidades: ICMC, IME
Assunto: MODELOS NÃO LINEARES
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ABNT
GOMES, Jose Clelto Barros et al. Fast inference for robust nonlinear mixed-effects models. Journal of Applied Statistics, v. 50, p. 1568-1591, 2023Tradução . . Disponível em: https://doi.org/10.1080/02664763.2022.2034141. Acesso em: 02 out. 2024.
APA
Gomes, J. C. B., Aoki, R., Lachos, V. H., Paula, G. A., & Russo, C. M. (2023). Fast inference for robust nonlinear mixed-effects models. Journal of Applied Statistics, 50, 1568-1591. doi:10.1080/02664763.2022.2034141
NLM
Gomes JCB, Aoki R, Lachos VH, Paula GA, Russo CM. Fast inference for robust nonlinear mixed-effects models [Internet]. Journal of Applied Statistics. 2023 ; 50 1568-1591.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2022.2034141
Vancouver
Gomes JCB, Aoki R, Lachos VH, Paula GA, Russo CM. Fast inference for robust nonlinear mixed-effects models [Internet]. Journal of Applied Statistics. 2023 ; 50 1568-1591.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2022.2034141
Artigo de periodico
A finite mixture mixed proportion regression model for classification problems in longitudinal voting data (2023)
Paz, Rosineide Fernando da ; Bazán Guzmán, Jorge Luis ; Lachos, Victor Hugo ; Dey, Dipak Kumar
Fonte: Journal of Applied Statistics. Unidade: ICMC
Assuntos: INFERÊNCIA BAYESIANA, MÉTODOS MCMC, CLUSTERS
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ABNT
PAZ, Rosineide Fernando da et al. A finite mixture mixed proportion regression model for classification problems in longitudinal voting data. Journal of Applied Statistics, v. 50, n. 4, p. 871-888, 2023Tradução . . Disponível em: https://doi.org/10.1080/02664763.2021.1998392. Acesso em: 02 out. 2024.
APA
Paz, R. F. da, Bazán Guzmán, J. L., Lachos, V. H., & Dey, D. K. (2023). A finite mixture mixed proportion regression model for classification problems in longitudinal voting data. Journal of Applied Statistics, 50( 4), 871-888. doi:10.1080/02664763.2021.1998392
NLM
Paz RF da, Bazán Guzmán JL, Lachos VH, Dey DK. A finite mixture mixed proportion regression model for classification problems in longitudinal voting data [Internet]. Journal of Applied Statistics. 2023 ; 50( 4): 871-888.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2021.1998392
Vancouver
Paz RF da, Bazán Guzmán JL, Lachos VH, Dey DK. A finite mixture mixed proportion regression model for classification problems in longitudinal voting data [Internet]. Journal of Applied Statistics. 2023 ; 50( 4): 871-888.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2021.1998392
Artigo de periodico
A new regression model for rates and proportions data with applications (2022)
Prataviera, Fabio ; Cordeiro, Gauss Moutinho ; Ortega, Edwin Moises Marcos ; Hashimoto, Elisabeth Mie ; Cancho, Vicente Garibay
Fonte: Journal of Applied Statistics. Unidades: ESALQ, ICMC
Assuntos: DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, SIMULAÇÃO (ESTATÍSTICA), VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PRATAVIERA, Fabio et al. A new regression model for rates and proportions data with applications. Journal of Applied Statistics, v. 49, n. 2, p. 4137-4161, 2022Tradução . . Disponível em: https://doi.org/10.1080/02664763.2021.1973385. Acesso em: 02 out. 2024.
APA
Prataviera, F., Cordeiro, G. M., Ortega, E. M. M., Hashimoto, E. M., & Cancho, V. G. (2022). A new regression model for rates and proportions data with applications. Journal of Applied Statistics, 49( 2), 4137-4161. doi:10.1080/02664763.2021.1973385
NLM
Prataviera F, Cordeiro GM, Ortega EMM, Hashimoto EM, Cancho VG. A new regression model for rates and proportions data with applications [Internet]. Journal of Applied Statistics. 2022 ; 49( 2): 4137-4161.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2021.1973385
Vancouver
Prataviera F, Cordeiro GM, Ortega EMM, Hashimoto EM, Cancho VG. A new regression model for rates and proportions data with applications [Internet]. Journal of Applied Statistics. 2022 ; 49( 2): 4137-4161.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2021.1973385
Artigo de periodico
A Bayesian approach for the zero-inflated cure model: an application in a Brazilian invasive cervical cancer database (2022)
Souza, Hayala Cristina Cavenague de; Louzada, Francisco ; Ramos, Pedro Luiz; Oliveira Júnior, Mauro Ribeiro de; Perdoná, Gleici da Silva Castro
Fonte: Journal of Applied Statistics. Unidades: ICMC, FMRP
Assuntos: ANÁLISE DE SOBREVIVÊNCIA, INFLAÇÃO, CURA, NEOPLASIAS
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ABNT
SOUZA, Hayala Cristina Cavenague de et al. A Bayesian approach for the zero-inflated cure model: an application in a Brazilian invasive cervical cancer database. Journal of Applied Statistics, v. 49, n. 12, p. 3178–3194, 2022Tradução . . Disponível em: https://doi.org/10.1080/02664763.2021.1933923. Acesso em: 02 out. 2024.
APA
Souza, H. C. C. de, Louzada, F., Ramos, P. L., Oliveira Júnior, M. R. de, & Perdoná, G. da S. C. (2022). A Bayesian approach for the zero-inflated cure model: an application in a Brazilian invasive cervical cancer database. Journal of Applied Statistics, 49( 12), 3178–3194. doi:10.1080/02664763.2021.1933923
NLM
Souza HCC de, Louzada F, Ramos PL, Oliveira Júnior MR de, Perdoná G da SC. A Bayesian approach for the zero-inflated cure model: an application in a Brazilian invasive cervical cancer database [Internet]. Journal of Applied Statistics. 2022 ; 49( 12): 3178–3194.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2021.1933923
Vancouver
Souza HCC de, Louzada F, Ramos PL, Oliveira Júnior MR de, Perdoná G da SC. A Bayesian approach for the zero-inflated cure model: an application in a Brazilian invasive cervical cancer database [Internet]. Journal of Applied Statistics. 2022 ; 49( 12): 3178–3194.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2021.1933923
Artigo de periodico
The new Neyman type A generalized odd loglogistic- G-family with cure fraction (2022)
Vigas, Valdemiro Piedade ; Ortega, Edwin Moises Marcos ; Cordeiro, Gauss Moutinho ; Suzuki, Adriano Kamimura ; Silva, Giovana Oliveira
Fonte: Journal of Applied Statistics. Unidades: ESALQ, ICMC
Assuntos: ANÁLISE DE SOBREVIVÊNCIA, DISTRIBUIÇÕES (PROBABILIDADE), MÉTODO DE MONTE CARLO
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ABNT
VIGAS, Valdemiro Piedade et al. The new Neyman type A generalized odd loglogistic- G-family with cure fraction. Journal of Applied Statistics, v. 49, n. 11, p. 2805-2824, 2022Tradução . . Disponível em: https://doi.org/10.1080/02664763.2021.1922994. Acesso em: 02 out. 2024.
APA
Vigas, V. P., Ortega, E. M. M., Cordeiro, G. M., Suzuki, A. K., & Silva, G. O. (2022). The new Neyman type A generalized odd loglogistic- G-family with cure fraction. Journal of Applied Statistics, 49( 11), 2805-2824. doi:10.1080/02664763.2021.1922994
NLM
Vigas VP, Ortega EMM, Cordeiro GM, Suzuki AK, Silva GO. The new Neyman type A generalized odd loglogistic- G-family with cure fraction [Internet]. Journal of Applied Statistics. 2022 ; 49( 11): 2805-2824.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2021.1922994
Vancouver
Vigas VP, Ortega EMM, Cordeiro GM, Suzuki AK, Silva GO. The new Neyman type A generalized odd loglogistic- G-family with cure fraction [Internet]. Journal of Applied Statistics. 2022 ; 49( 11): 2805-2824.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2021.1922994
Artigo de periodico
The log-normal zero-inflated cure regression model for labor time in an African obstetric population (2022)
Souza, Hayala Cristina Cavenague de; Louzada, Francisco ; Oliveira, Mauro Ribeiro de ; Fawole, Bukola ; Akintan, Adesina ; Oyeneyin, Lawal ; Sanni, Wilfred; Perdona, Gleici da Silva Castro
Fonte: Journal of Applied Statistics. Unidades: ICMC, FMRP
Assuntos: PARTO, ANÁLISE DE SOBREVIVÊNCIA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, EDUCAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUZA, Hayala Cristina Cavenague de et al. The log-normal zero-inflated cure regression model for labor time in an African obstetric population. Journal of Applied Statistics, v. 49, n. 9, p. 2416-2429, 2022Tradução . . Disponível em: https://doi.org/10.1080/02664763.2021.1896684. Acesso em: 02 out. 2024.
APA
Souza, H. C. C. de, Louzada, F., Oliveira, M. R. de, Fawole, B., Akintan, A., Oyeneyin, L., et al. (2022). The log-normal zero-inflated cure regression model for labor time in an African obstetric population. Journal of Applied Statistics, 49( 9), 2416-2429. doi:10.1080/02664763.2021.1896684
NLM
Souza HCC de, Louzada F, Oliveira MR de, Fawole B, Akintan A, Oyeneyin L, Sanni W, Perdona G da SC. The log-normal zero-inflated cure regression model for labor time in an African obstetric population [Internet]. Journal of Applied Statistics. 2022 ; 49( 9): 2416-2429.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2021.1896684
Vancouver
Souza HCC de, Louzada F, Oliveira MR de, Fawole B, Akintan A, Oyeneyin L, Sanni W, Perdona G da SC. The log-normal zero-inflated cure regression model for labor time in an African obstetric population [Internet]. Journal of Applied Statistics. 2022 ; 49( 9): 2416-2429.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2021.1896684
Artigo de periodico
Augmented-limited regression models with an application to the study of the risk perceived using continuous scales (2021)
Silva, Ana R. S; Azevedo, Caio Lucidius Naberezny ; Bazán Guzmán, Jorge Luis ; Nobre, Juvêncio Santos
Fonte: Journal of Applied Statistics. Unidade: ICMC
Assuntos: MODELAGEM DE DADOS, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, VEROSSIMILHANÇA, SIMULAÇÃO (ESTATÍSTICA)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Ana R. S et al. Augmented-limited regression models with an application to the study of the risk perceived using continuous scales. Journal of Applied Statistics, v. 48, n. 11, p. 1998-2021, 2021Tradução . . Disponível em: https://doi.org/10.1080/02664763.2020.1783518. Acesso em: 02 out. 2024.
APA
Silva, A. R. S., Azevedo, C. L. N., Bazán Guzmán, J. L., & Nobre, J. S. (2021). Augmented-limited regression models with an application to the study of the risk perceived using continuous scales. Journal of Applied Statistics, 48( 11), 1998-2021. doi:10.1080/02664763.2020.1783518
NLM
Silva ARS, Azevedo CLN, Bazán Guzmán JL, Nobre JS. Augmented-limited regression models with an application to the study of the risk perceived using continuous scales [Internet]. Journal of Applied Statistics. 2021 ; 48( 11): 1998-2021.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2020.1783518
Vancouver
Silva ARS, Azevedo CLN, Bazán Guzmán JL, Nobre JS. Augmented-limited regression models with an application to the study of the risk perceived using continuous scales [Internet]. Journal of Applied Statistics. 2021 ; 48( 11): 1998-2021.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2020.1783518
Artigo de periodico
An extended poisson family of life distribution: a unified approach in competitive and complementary risks (2020)
Ramos, Pedro Luiz ; Dey, Dipak Kumar; Louzada, Francisco ; Lachos, Victor Hugo
Fonte: Journal of Applied Statistics. Unidade: ICMC
Assuntos: DISTRIBUIÇÕES (PROBABILIDADE), ANÁLISE DE SOBREVIVÊNCIA, DISTRIBUIÇÃO DE POISSON, FALHA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RAMOS, Pedro Luiz et al. An extended poisson family of life distribution: a unified approach in competitive and complementary risks. Journal of Applied Statistics, v. 47, n. 2, p. 306-322, 2020Tradução . . Disponível em: https://doi.org/10.1080/02664763.2019.1644488. Acesso em: 02 out. 2024.
APA
Ramos, P. L., Dey, D. K., Louzada, F., & Lachos, V. H. (2020). An extended poisson family of life distribution: a unified approach in competitive and complementary risks. Journal of Applied Statistics, 47( 2), 306-322. doi:10.1080/02664763.2019.1644488
NLM
Ramos PL, Dey DK, Louzada F, Lachos VH. An extended poisson family of life distribution: a unified approach in competitive and complementary risks [Internet]. Journal of Applied Statistics. 2020 ; 47( 2): 306-322.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2019.1644488
Vancouver
Ramos PL, Dey DK, Louzada F, Lachos VH. An extended poisson family of life distribution: a unified approach in competitive and complementary risks [Internet]. Journal of Applied Statistics. 2020 ; 47( 2): 306-322.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2019.1644488
Artigo de periodico
The multinomial logistic regression model for predicting the discharge status after liver transplantation: estimation and diagnostics analysis (2020)
Hashimoto, Elisabeth Mie ; Ortega, Edwin Moiséis Marcos ; Cordeiro, Gauss Moutinho ; Suzuki, Adriano Kamimura ; Kattan, Michael W
Fonte: Journal of Applied Statistics. Unidades: ESALQ, ICMC
Assuntos: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, DADOS CATEGORIZADOS, INFERÊNCIA BAYESIANA, TRANSPLANTE DE RIM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HASHIMOTO, Elisabeth Mie et al. The multinomial logistic regression model for predicting the discharge status after liver transplantation: estimation and diagnostics analysis. Journal of Applied Statistics, v. 47, n. 12, p. 2159–2177, 2020Tradução . . Disponível em: https://doi.org/10.1080/02664763.2019.1706725. Acesso em: 02 out. 2024.
APA
Hashimoto, E. M., Ortega, E. M. M., Cordeiro, G. M., Suzuki, A. K., & Kattan, M. W. (2020). The multinomial logistic regression model for predicting the discharge status after liver transplantation: estimation and diagnostics analysis. Journal of Applied Statistics, 47( 12), 2159–2177. doi:10.1080/02664763.2019.1706725
NLM
Hashimoto EM, Ortega EMM, Cordeiro GM, Suzuki AK, Kattan MW. The multinomial logistic regression model for predicting the discharge status after liver transplantation: estimation and diagnostics analysis [Internet]. Journal of Applied Statistics. 2020 ; 47( 12): 2159–2177.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2019.1706725
Vancouver
Hashimoto EM, Ortega EMM, Cordeiro GM, Suzuki AK, Kattan MW. The multinomial logistic regression model for predicting the discharge status after liver transplantation: estimation and diagnostics analysis [Internet]. Journal of Applied Statistics. 2020 ; 47( 12): 2159–2177.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2019.1706725
Artigo de periodico
Bayesian estimation of a flexible bifactor generalized partial credit model to survey data (2019)
Silva, Marcelo Andrade da ; Huggins-Manley, Anne Corinne ; Mazzon, José Afonso ; Bazán Guzmán, Jorge Luis
Fonte: Journal of Applied Statistics. Unidades: FEA, ICMC, INTER: ICMC -UFSCAR
Assuntos: INFERÊNCIA BAYESIANA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, MÉTODO DE MONTE CARLO, ANÁLISE DE DADOS, CRÉDITO
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 a flexible bifactor generalized partial credit model to survey data. Journal of Applied Statistics, v. 46, n. 13, p. 2372-2387, 2019Tradução . . Disponível em: https://doi.org/10.1080/02664763.2019.1592125. Acesso em: 02 out. 2024.
APA
Silva, M. A. da, Huggins-Manley, A. C., Mazzon, J. A., & Bazán Guzmán, J. L. (2019). Bayesian estimation of a flexible bifactor generalized partial credit model to survey data. Journal of Applied Statistics, 46( 13), 2372-2387. doi:10.1080/02664763.2019.1592125
NLM
Silva MA da, Huggins-Manley AC, Mazzon JA, Bazán Guzmán JL. Bayesian estimation of a flexible bifactor generalized partial credit model to survey data [Internet]. Journal of Applied Statistics. 2019 ; 46( 13): 2372-2387.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2019.1592125
Vancouver
Silva MA da, Huggins-Manley AC, Mazzon JA, Bazán Guzmán JL. Bayesian estimation of a flexible bifactor generalized partial credit model to survey data [Internet]. Journal of Applied Statistics. 2019 ; 46( 13): 2372-2387.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2019.1592125
Artigo de periodico
Extended Poisson INAR(1) processes with equidispersion, underdispersion and overdispersion (2019)
Bourguignon, Marcelo; Rodrigues, Josemar ; Santos-Neto, Manoel
Fonte: Journal of Applied Statistics. Unidade: ICMC
Assuntos: INFERÊNCIA BAYESIANA, DISTRIBUIÇÃO DE POISSON, MODELOS LINEARES GENERALIZADOS, PROCESSOS ESTOCÁSTICOS, PROCESSOS DE CONTAGEM, DADOS DE CONTAGEM, REGRESSÃO LOGÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BOURGUIGNON, Marcelo e RODRIGUES, Josemar e SANTOS-NETO, Manoel. Extended Poisson INAR(1) processes with equidispersion, underdispersion and overdispersion. Journal of Applied Statistics, v. Fe 2019, n. 1, p. 101-118, 2019Tradução . . Disponível em: https://doi.org/10.1080/02664763.2018.1458216. Acesso em: 02 out. 2024.
APA
Bourguignon, M., Rodrigues, J., & Santos-Neto, M. (2019). Extended Poisson INAR(1) processes with equidispersion, underdispersion and overdispersion. Journal of Applied Statistics, Fe 2019( 1), 101-118. doi:10.1080/02664763.2018.1458216
NLM
Bourguignon M, Rodrigues J, Santos-Neto M. Extended Poisson INAR(1) processes with equidispersion, underdispersion and overdispersion [Internet]. Journal of Applied Statistics. 2019 ; Fe 2019( 1): 101-118.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2018.1458216
Vancouver
Bourguignon M, Rodrigues J, Santos-Neto M. Extended Poisson INAR(1) processes with equidispersion, underdispersion and overdispersion [Internet]. Journal of Applied Statistics. 2019 ; Fe 2019( 1): 101-118.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2018.1458216
Artigo de periodico
Zero-adjusted defective regression models for modeling lifetime data (2019)
Calsavara, Vinicius Fernando ; Rodrigues, Agatha Sacramento; Rocha, Ricardo ; Louzada, Francisco ; Tomazella, Vera ; Souza, Ana Claudia Rodrigues Lopes Amaral de ; Costa, Rafaela Alkmin da ; Francisco, Rossana Pulcineli Vieira
Fonte: Journal of Applied Statistics. Unidades: ICMC, FM, IME
Assuntos: ANÁLISE DE SOBREVIVÊNCIA, VEROSSIMILHANÇA, MÉTODO DE MONTE CARLO, DISTRIBUIÇÕES (PROBABILIDADE)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CALSAVARA, Vinicius Fernando et al. Zero-adjusted defective regression models for modeling lifetime data. Journal of Applied Statistics, v. 46, n. 13, p. 2434-2459, 2019Tradução . . Disponível em: https://doi.org/10.1080/02664763.2019.1597029. Acesso em: 02 out. 2024.
APA
Calsavara, V. F., Rodrigues, A. S., Rocha, R., Louzada, F., Tomazella, V., Souza, A. C. R. L. A. de, et al. (2019). Zero-adjusted defective regression models for modeling lifetime data. Journal of Applied Statistics, 46( 13), 2434-2459. doi:10.1080/02664763.2019.1597029
NLM
Calsavara VF, Rodrigues AS, Rocha R, Louzada F, Tomazella V, Souza ACRLA de, Costa RA da, Francisco RPV. Zero-adjusted defective regression models for modeling lifetime data [Internet]. Journal of Applied Statistics. 2019 ; 46( 13): 2434-2459.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2019.1597029
Vancouver
Calsavara VF, Rodrigues AS, Rocha R, Louzada F, Tomazella V, Souza ACRLA de, Costa RA da, Francisco RPV. Zero-adjusted defective regression models for modeling lifetime data [Internet]. Journal of Applied Statistics. 2019 ; 46( 13): 2434-2459.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2019.1597029
Artigo de periodico
Modelling two types of heterogeneity in the analysis of student success (2019)
Cobre, Juliana ; Tortorelli, Fabiana Arca Cruz; Oliveira, Sandra Cristina de
Fonte: Journal of Applied Statistics. Unidades: ICMC, INTER: ICMC -UFSCAR
Assuntos: SUCESSO ESCOLAR, HETEROGENEIDADE, EVASÃO ESCOLAR, TOMADA DE DECISÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COBRE, Juliana e TORTORELLI, Fabiana Arca Cruz e OLIVEIRA, Sandra Cristina de. Modelling two types of heterogeneity in the analysis of student success. Journal of Applied Statistics, v. 46, n. 14, p. 2527-2539, 2019Tradução . . Disponível em: https://doi.org/10.1080/02664763.2019.1601164. Acesso em: 02 out. 2024.
APA
Cobre, J., Tortorelli, F. A. C., & Oliveira, S. C. de. (2019). Modelling two types of heterogeneity in the analysis of student success. Journal of Applied Statistics, 46( 14), 2527-2539. doi:10.1080/02664763.2019.1601164
NLM
Cobre J, Tortorelli FAC, Oliveira SC de. Modelling two types of heterogeneity in the analysis of student success [Internet]. Journal of Applied Statistics. 2019 ; 46( 14): 2527-2539.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2019.1601164
Vancouver
Cobre J, Tortorelli FAC, Oliveira SC de. Modelling two types of heterogeneity in the analysis of student success [Internet]. Journal of Applied Statistics. 2019 ; 46( 14): 2527-2539.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2019.1601164
Artigo de periodico
Defective models induced by gamma frailty term for survival data with cured fraction (2019)
Scudilio, Juliana; Calsavara, Vinicius F.; Rocha, Ricardo; Louzada, Francisco ; Tomazella, Vera Lúcia Damasceno; Rodrigues, Agatha S.
Fonte: Journal of Applied Statistics. Unidade: ICMC
Assuntos: NEOPLASIAS MAMÁRIAS, PROCESSOS ESTOCÁSTICOS, ANÁLISE DE SOBREVIVÊNCIA, DISTRIBUIÇÕES (PROBABILIDADE)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SCUDILIO, Juliana et al. Defective models induced by gamma frailty term for survival data with cured fraction. Journal of Applied Statistics, v. 46, n. 3, p. 484-507, 2019Tradução . . Disponível em: https://doi.org/10.1080/02664763.2018.1498464. Acesso em: 02 out. 2024.
APA
Scudilio, J., Calsavara, V. F., Rocha, R., Louzada, F., Tomazella, V. L. D., & Rodrigues, A. S. (2019). Defective models induced by gamma frailty term for survival data with cured fraction. Journal of Applied Statistics, 46( 3), 484-507. doi:10.1080/02664763.2018.1498464
NLM
Scudilio J, Calsavara VF, Rocha R, Louzada F, Tomazella VLD, Rodrigues AS. Defective models induced by gamma frailty term for survival data with cured fraction [Internet]. Journal of Applied Statistics. 2019 ; 46( 3): 484-507.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2018.1498464
Vancouver
Scudilio J, Calsavara VF, Rocha R, Louzada F, Tomazella VLD, Rodrigues AS. Defective models induced by gamma frailty term for survival data with cured fraction [Internet]. Journal of Applied Statistics. 2019 ; 46( 3): 484-507.[citado 2024 out. 02 ] Available from: https://doi.org/10.1080/02664763.2018.1498464

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