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Artigo de periodico
A discrete Weibull proportional odds survival model (2024)
Cardial, Marcílio Ramos Pereira ; Cobre, Juliana ; Nakano, Eduardo Yoshio
Source: Journal of Applied Statistics. Unidade: INTER: ICMC -UFSCAR
Subjects: ANÁLISE DE SOBREVIVÊNCIA, LEUCEMIA, INFERÊNCIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CARDIAL, Marcílio Ramos Pereira e COBRE, Juliana e NAKANO, Eduardo Yoshio. A discrete Weibull proportional odds survival model. Journal of Applied Statistics, 2024Tradução . . Disponível em: https://doi.org/10.1080/02664763.2024.2373929. Acesso em: 15 out. 2024.
APA
Cardial, M. R. P., Cobre, J., & Nakano, E. Y. (2024). A discrete Weibull proportional odds survival model. Journal of Applied Statistics. doi:10.1080/02664763.2024.2373929
NLM
Cardial MRP, Cobre J, Nakano EY. A discrete Weibull proportional odds survival model [Internet]. Journal of Applied Statistics. 2024 ;[citado 2024 out. 15 ] Available from: https://doi.org/10.1080/02664763.2024.2373929
Vancouver
Cardial MRP, Cobre J, Nakano EY. A discrete Weibull proportional odds survival model [Internet]. Journal of Applied Statistics. 2024 ;[citado 2024 out. 15 ] Available from: https://doi.org/10.1080/02664763.2024.2373929
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
Source: Journal of Applied Statistics. Unidades: ESALQ, ICMC
Subjects: 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: 15 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. 15 ] 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. 15 ] Available from: https://doi.org/10.1080/02664763.2022.2163229
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
Source: Journal of Applied Statistics. Unidades: ESALQ, ICMC
Subjects: 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: 15 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. 15 ] 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. 15 ] 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
Source: Journal of Applied Statistics. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 15 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. 15 ] 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. 15 ] Available from: https://doi.org/10.1080/02664763.2023.2203882
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
Source: Journal of Applied Statistics. Unidades: ESALQ, ICMC
Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, COVID-19, DADOS CENSURADOS, MODELOS MATEMÁTICOS, SISTEMA ÚNICO DE SAÚDE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 15 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. 15 ] 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. 15 ] Available from: https://doi.org/10.1080/02664763.2022.2036707
Artigo de periodico
Ultrastructural calibration model for proficiency testing (2023)
Aoki, Reiko ; Leão, Dorival; Bustamante, Juan Pablo Mamani; Vilca, Filidor
Source: Journal of Applied Statistics. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: TEORIA ASSINTÓTICA, EDUÇÃO DE HIPÓTESES, LABORATÓRIOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 15 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. 15 ] 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. 15 ] Available from: https://doi.org/10.1080/02664763.2021.2012563
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
Source: Journal of Applied Statistics. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, MÉTODOS MCMC, CLUSTERS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 15 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. 15 ] 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. 15 ] 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
Source: Journal of Applied Statistics. Unidades: ESALQ, ICMC
Subjects: 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: 15 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. 15 ] 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. 15 ] Available from: https://doi.org/10.1080/02664763.2021.1973385
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
Source: Journal of Applied Statistics. Unidades: ESALQ, ICMC
Subjects: ANÁLISE DE SOBREVIVÊNCIA, DISTRIBUIÇÕES (PROBABILIDADE), MÉTODO DE MONTE CARLO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 15 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. 15 ] 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. 15 ] 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
Source: Journal of Applied Statistics. Unidades: ICMC, FMRP
Subjects: 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: 15 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. 15 ] 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. 15 ] Available from: https://doi.org/10.1080/02664763.2021.1896684
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
Source: Journal of Applied Statistics. Unidades: ESALQ, ICMC
Subjects: 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: 15 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. 15 ] 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. 15 ] Available from: https://doi.org/10.1080/02664763.2019.1706725
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
Source: Journal of Applied Statistics. Unidade: ICMC
Subjects: 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: 15 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. 15 ] 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. 15 ] Available from: https://doi.org/10.1080/02664763.2019.1644488
Artigo de periodico
Bayesian analysis of generalized elliptical semi-parametric models (2016)
Rondon, Luz Marina; Bolfarine, Heleno
Source: Journal of Applied Statistics. Unidade: IME
Subjects: INFERÊNCIA ESTATÍSTICA, INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RONDON, Luz Marina e BOLFARINE, Heleno. Bayesian analysis of generalized elliptical semi-parametric models. Journal of Applied Statistics, v. 43, n. 8, p. 1508–1524, 2016Tradução . . Disponível em: https://doi.org/10.1080/02664763.2015.1109070. Acesso em: 15 out. 2024.
APA
Rondon, L. M., & Bolfarine, H. (2016). Bayesian analysis of generalized elliptical semi-parametric models. Journal of Applied Statistics, 43( 8), 1508–1524. doi:10.1080/02664763.2015.1109070
NLM
Rondon LM, Bolfarine H. Bayesian analysis of generalized elliptical semi-parametric models [Internet]. Journal of Applied Statistics. 2016 ; 43( 8): 1508–1524.[citado 2024 out. 15 ] Available from: https://doi.org/10.1080/02664763.2015.1109070
Vancouver
Rondon LM, Bolfarine H. Bayesian analysis of generalized elliptical semi-parametric models [Internet]. Journal of Applied Statistics. 2016 ; 43( 8): 1508–1524.[citado 2024 out. 15 ] Available from: https://doi.org/10.1080/02664763.2015.1109070
Artigo de periodico
On elliptical multilevel models (2016)
Manghi, Roberto Ferreira; Paula, Gilberto Alvarenga ; Cysneiros, Francisco José de Azevêdo
Source: Journal of Applied Statistics. Unidade: IME
Subjects: REGRESSÃO LINEAR, ANÁLISE MULTIVARIADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MANGHI, Roberto Ferreira e PAULA, Gilberto Alvarenga e CYSNEIROS, Francisco José de Azevêdo. On elliptical multilevel models. Journal of Applied Statistics, 2016Tradução . . Disponível em: https://doi.org/10.1080/02664763.2015.1134445. Acesso em: 15 out. 2024.
APA
Manghi, R. F., Paula, G. A., & Cysneiros, F. J. de A. (2016). On elliptical multilevel models. Journal of Applied Statistics. doi:10.1080/02664763.2015.1134445
NLM
Manghi RF, Paula GA, Cysneiros FJ de A. On elliptical multilevel models [Internet]. Journal of Applied Statistics. 2016 ;[citado 2024 out. 15 ] Available from: https://doi.org/10.1080/02664763.2015.1134445
Vancouver
Manghi RF, Paula GA, Cysneiros FJ de A. On elliptical multilevel models [Internet]. Journal of Applied Statistics. 2016 ;[citado 2024 out. 15 ] Available from: https://doi.org/10.1080/02664763.2015.1134445
Artigo de periodico
Bayesian analysis of censored linear regression models with scale mixtures of normal distributions (2015)
Garay, Aldo M; Bolfarine, Heleno ; Lachos, Victor Hugo; Cabral, Celso Rômulo Barbosa
Source: Journal of Applied Statistics. Unidade: IME
Assunto: INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GARAY, Aldo M et al. Bayesian analysis of censored linear regression models with scale mixtures of normal distributions. Journal of Applied Statistics, v. 42, n. 12, p. 2694-2714, 2015Tradução . . Disponível em: https://doi.org/10.1080/02664763.2015.1048671. Acesso em: 15 out. 2024.
APA
Garay, A. M., Bolfarine, H., Lachos, V. H., & Cabral, C. R. B. (2015). Bayesian analysis of censored linear regression models with scale mixtures of normal distributions. Journal of Applied Statistics, 42( 12), 2694-2714. doi:10.1080/02664763.2015.1048671
NLM
Garay AM, Bolfarine H, Lachos VH, Cabral CRB. Bayesian analysis of censored linear regression models with scale mixtures of normal distributions [Internet]. Journal of Applied Statistics. 2015 ; 42( 12): 2694-2714.[citado 2024 out. 15 ] Available from: https://doi.org/10.1080/02664763.2015.1048671
Vancouver
Garay AM, Bolfarine H, Lachos VH, Cabral CRB. Bayesian analysis of censored linear regression models with scale mixtures of normal distributions [Internet]. Journal of Applied Statistics. 2015 ; 42( 12): 2694-2714.[citado 2024 out. 15 ] Available from: https://doi.org/10.1080/02664763.2015.1048671
Artigo de periodico
A general hazard model for lifetime data in the presence of cure rate (2011)
Perdoná, Gleici Castro; Louzada, Francisco
Source: Journal of Applied Statistics. Unidades: FMRP, ICMC
Subjects: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, PROBABILIDADE, CRIANÇAS, HIV
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PERDONÁ, Gleici Castro e LOUZADA, Francisco. A general hazard model for lifetime data in the presence of cure rate. Journal of Applied Statistics, v. 38, n. 7, p. 1395-1405, 2011Tradução . . Disponível em: https://doi.org/10.1080/02664763.2010.505948. Acesso em: 15 out. 2024.
APA
Perdoná, G. C., & Louzada, F. (2011). A general hazard model for lifetime data in the presence of cure rate. Journal of Applied Statistics, 38( 7), 1395-1405. doi:10.1080/02664763.2010.505948
NLM
Perdoná GC, Louzada F. A general hazard model for lifetime data in the presence of cure rate [Internet]. Journal of Applied Statistics. 2011 ; 38( 7): 1395-1405.[citado 2024 out. 15 ] Available from: https://doi.org/10.1080/02664763.2010.505948
Vancouver
Perdoná GC, Louzada F. A general hazard model for lifetime data in the presence of cure rate [Internet]. Journal of Applied Statistics. 2011 ; 38( 7): 1395-1405.[citado 2024 out. 15 ] Available from: https://doi.org/10.1080/02664763.2010.505948
Artigo de periodico
Bayesian analysis for a skew extension of the multivariate null intercept measurement error model (2008)
Cancho, Vicente Garibay ; Aoki, Reiko ; Lachos Dávila, Victor Hugo
Source: Journal of Applied Statistics. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, REGRESSÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CANCHO, Vicente Garibay e AOKI, Reiko e LACHOS DÁVILA, Victor Hugo. Bayesian analysis for a skew extension of the multivariate null intercept measurement error model. Journal of Applied Statistics, v. no 2008, n. 11, p. 1239-1251, 2008Tradução . . Disponível em: https://doi.org/10.1080/02664760802319667. Acesso em: 15 out. 2024.
APA
Cancho, V. G., Aoki, R., & Lachos Dávila, V. H. (2008). Bayesian analysis for a skew extension of the multivariate null intercept measurement error model. Journal of Applied Statistics, no 2008( 11), 1239-1251. doi:10.1080/02664760802319667
NLM
Cancho VG, Aoki R, Lachos Dávila VH. Bayesian analysis for a skew extension of the multivariate null intercept measurement error model [Internet]. Journal of Applied Statistics. 2008 ; no 2008( 11): 1239-1251.[citado 2024 out. 15 ] Available from: https://doi.org/10.1080/02664760802319667
Vancouver
Cancho VG, Aoki R, Lachos Dávila VH. Bayesian analysis for a skew extension of the multivariate null intercept measurement error model [Internet]. Journal of Applied Statistics. 2008 ; no 2008( 11): 1239-1251.[citado 2024 out. 15 ] Available from: https://doi.org/10.1080/02664760802319667

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