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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: 17 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. 17 ] 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. 17 ] 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: 17 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. 17 ] 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. 17 ] Available from: https://doi.org/10.1080/02664763.2022.2163229
Artigo de periodico
Diagnostics for categorical response models based on quantile residuals and distance measures (2024)
Araripe, Patrícia Peres ; Lara, Idemauro Antonio Rodrigues de ; Palma, Gabriel Rodrigues; Cahill, Niamh; Moral, Rafael de Andrade
Source: Journal of Applied Statistics. Unidade: ESALQ
Subjects: DADOS CATEGORIZADOS, DELINEAMENTO EXPERIMENTAL, DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, SIMULAÇÃO (ESTATÍSTICA), VEROSSIMILHANÇA
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ABNT
ARARIPE, Patrícia Peres et al. Diagnostics for categorical response models based on quantile residuals and distance measures. Journal of Applied Statistics, 2024Tradução . . Disponível em: https://doi.org/10.1080/02664763.2024.2367150. Acesso em: 17 out. 2024.
APA
Araripe, P. P., Lara, I. A. R. de, Palma, G. R., Cahill, N., & Moral, R. de A. (2024). Diagnostics for categorical response models based on quantile residuals and distance measures. Journal of Applied Statistics. doi:10.1080/02664763.2024.2367150
NLM
Araripe PP, Lara IAR de, Palma GR, Cahill N, Moral R de A. Diagnostics for categorical response models based on quantile residuals and distance measures [Internet]. Journal of Applied Statistics. 2024 ;[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2024.2367150
Vancouver
Araripe PP, Lara IAR de, Palma GR, Cahill N, Moral R de A. Diagnostics for categorical response models based on quantile residuals and distance measures [Internet]. Journal of Applied Statistics. 2024 ;[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2024.2367150
Artigo de periodico
Modeling the spatial patterns of antenatal care utilization in Nigeria with inference based on Pólya-Gamma mixtures (2024)
Egbon, Osafu Augustine ; Gayawan, Ezra
Source: Journal of Applied Statistics. Unidade: INTER: ICMC -UFSCAR
Subjects: INFERÊNCIA BAYESIANA, REGRESSÃO LINEAR, ESTATÍSTICA APLICADA, FATORES SOCIOECONÔMICOS, DIAGNÓSTICO PRÉ-NATAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
EGBON, Osafu Augustine e GAYAWAN, Ezra. Modeling the spatial patterns of antenatal care utilization in Nigeria with inference based on Pólya-Gamma mixtures. Journal of Applied Statistics, v. 51, n. 5, p. 866-890, 2024Tradução . . Disponível em: https://doi.org/10.1080/02664763.2022.2164561. Acesso em: 17 out. 2024.
APA
Egbon, O. A., & Gayawan, E. (2024). Modeling the spatial patterns of antenatal care utilization in Nigeria with inference based on Pólya-Gamma mixtures. Journal of Applied Statistics, 51( 5), 866-890. doi:10.1080/02664763.2022.2164561
NLM
Egbon OA, Gayawan E. Modeling the spatial patterns of antenatal care utilization in Nigeria with inference based on Pólya-Gamma mixtures [Internet]. Journal of Applied Statistics. 2024 ; 51( 5): 866-890.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2022.2164561
Vancouver
Egbon OA, Gayawan E. Modeling the spatial patterns of antenatal care utilization in Nigeria with inference based on Pólya-Gamma mixtures [Internet]. Journal of Applied Statistics. 2024 ; 51( 5): 866-890.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2022.2164561
Artigo de periodico
Alternative statistical modeling for radical prostatectomy data (2024)
Vasconcelos, Julio C. S ; Travassos, Thiago da Costa ; Ortega, Edwin Moises Marcos ; Cordeiro, Gauss M ; Reis, Leonardo Oliveira
Source: Journal of Applied Statistics. Unidade: ESALQ
Subjects: ANESTESIA LOCAL, DISTRIBUIÇÃO NORMAL, ESTATÍSTICAS DE SAÚDE, INFERÊNCIA SEMIPARAMÉTRICA, MODELAGEM DE DADOS, NEOPLASIAS DOS GENITAIS MASCULINOS, PROSTATECTOMIA, SUAVIZAÇÃO, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VASCONCELOS, Julio C. S et al. Alternative statistical modeling for radical prostatectomy data. Journal of Applied Statistics, v. 51, n. 5, p. 1007–1022, 2024Tradução . . Disponível em: https://doi.org/10.1080/02664763.2023.2229973. Acesso em: 17 out. 2024.
APA
Vasconcelos, J. C. S., Travassos, T. da C., Ortega, E. M. M., Cordeiro, G. M., & Reis, L. O. (2024). Alternative statistical modeling for radical prostatectomy data. Journal of Applied Statistics, 51( 5), 1007–1022. doi:10.1080/02664763.2023.2229973
NLM
Vasconcelos JCS, Travassos T da C, Ortega EMM, Cordeiro GM, Reis LO. Alternative statistical modeling for radical prostatectomy data [Internet]. Journal of Applied Statistics. 2024 ; 51( 5): 1007–1022.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2023.2229973
Vancouver
Vasconcelos JCS, Travassos T da C, Ortega EMM, Cordeiro GM, Reis LO. Alternative statistical modeling for radical prostatectomy data [Internet]. Journal of Applied Statistics. 2024 ; 51( 5): 1007–1022.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2023.2229973
Artigo de periodico
Reparametrized generalized gamma partially linear regression with application to breast cancer data (2024)
Fidelis, Cleanderson Romualdo ; Ortega, Edwin Moises Marcos ; Prataviera, Fábio ; Vila, Roberto; Cordeiro, Gauss M
Source: Journal of Applied Statistics. Unidade: ESALQ
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), NEOPLASIAS MAMÁRIAS, REGRESSÃO LINEAR, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FIDELIS, Cleanderson Romualdo et al. Reparametrized generalized gamma partially linear regression with application to breast cancer data. Journal of Applied Statistics, p. 1-18, 2024Tradução . . Disponível em: https://doi.org/10.1080/02664763.2024.2337086. Acesso em: 17 out. 2024.
APA
Fidelis, C. R., Ortega, E. M. M., Prataviera, F., Vila, R., & Cordeiro, G. M. (2024). Reparametrized generalized gamma partially linear regression with application to breast cancer data. Journal of Applied Statistics, 1-18. doi:10.1080/02664763.2024.2337086
NLM
Fidelis CR, Ortega EMM, Prataviera F, Vila R, Cordeiro GM. Reparametrized generalized gamma partially linear regression with application to breast cancer data [Internet]. Journal of Applied Statistics. 2024 ; 1-18.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2024.2337086
Vancouver
Fidelis CR, Ortega EMM, Prataviera F, Vila R, Cordeiro GM. Reparametrized generalized gamma partially linear regression with application to breast cancer data [Internet]. Journal of Applied Statistics. 2024 ; 1-18.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2024.2337086
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: 17 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. 17 ] 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. 17 ] Available from: https://doi.org/10.1080/02664763.2023.2230533
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
Source: 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: 17 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. 17 ] 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. 17 ] Available from: https://doi.org/10.1080/02664763.2023.2212332
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
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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: 17 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. 17 ] 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. 17 ] 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: 17 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. 17 ] 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. 17 ] 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: 17 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. 17 ] 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. 17 ] Available from: https://doi.org/10.1080/02664763.2021.2012563
Artigo de periodico
A hierarchical Bayesian approach for modeling the evolution of the 7-day moving average of the number of deaths by COVID-19 (2023)
Saraiva, Erlandson Ferreira ; Sauer, Leandro ; Pereira, Carlos Alberto de Bragança
Source: Journal of Applied Statistics. Unidade: IME
Subjects: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, COVID-19
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SARAIVA, Erlandson Ferreira e SAUER, Leandro e PEREIRA, Carlos Alberto de Bragança. A hierarchical Bayesian approach for modeling the evolution of the 7-day moving average of the number of deaths by COVID-19. Journal of Applied Statistics, v. 50, n. 10, p. 2194-2208, 2023Tradução . . Disponível em: https://doi.org/10.1080/02664763.2022.2070136. Acesso em: 17 out. 2024.
APA
Saraiva, E. F., Sauer, L., & Pereira, C. A. de B. (2023). A hierarchical Bayesian approach for modeling the evolution of the 7-day moving average of the number of deaths by COVID-19. Journal of Applied Statistics, 50( 10), 2194-2208. doi:10.1080/02664763.2022.2070136
NLM
Saraiva EF, Sauer L, Pereira CA de B. A hierarchical Bayesian approach for modeling the evolution of the 7-day moving average of the number of deaths by COVID-19 [Internet]. Journal of Applied Statistics. 2023 ; 50( 10): 2194-2208.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2022.2070136
Vancouver
Saraiva EF, Sauer L, Pereira CA de B. A hierarchical Bayesian approach for modeling the evolution of the 7-day moving average of the number of deaths by COVID-19 [Internet]. Journal of Applied Statistics. 2023 ; 50( 10): 2194-2208.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2022.2070136
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
Source: Journal of Applied Statistics. Unidades: ICMC, IME
Assunto: MODELOS NÃO LINEARES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 17 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. 17 ] 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. 17 ] Available from: https://doi.org/10.1080/02664763.2022.2034141
Artigo de periodico
A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme (2023)
Peralta, Danielle; Oliveira, Ricardo Puziol de; Achcar, Jorge Alberto
Source: Journal of Applied Statistics. Unidade: FMRP
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA, DADOS CENSURADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PERALTA, Danielle e OLIVEIRA, Ricardo Puziol de e ACHCAR, Jorge Alberto. A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme. Journal of Applied Statistics, v. 51, n. 9, p. 1772-1791, 2023Tradução . . Disponível em: https://doi.org/10.1080/02664763.2023.2235093. Acesso em: 17 out. 2024.
APA
Peralta, D., Oliveira, R. P. de, & Achcar, J. A. (2023). A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme. Journal of Applied Statistics, 51( 9), 1772-1791. doi:10.1080/02664763.2023.2235093
NLM
Peralta D, Oliveira RP de, Achcar JA. A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme [Internet]. Journal of Applied Statistics. 2023 ; 51( 9): 1772-1791.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2023.2235093
Vancouver
Peralta D, Oliveira RP de, Achcar JA. A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme [Internet]. Journal of Applied Statistics. 2023 ; 51( 9): 1772-1791.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2023.2235093
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: 17 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. 17 ] 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. 17 ] 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: 17 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. 17 ] 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. 17 ] 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
Source: Journal of Applied Statistics. Unidades: ICMC, FMRP
Subjects: ANÁLISE DE SOBREVIVÊNCIA, INFLAÇÃO, CURA, NEOPLASIAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 17 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. 17 ] 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. 17 ] 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
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: 17 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. 17 ] 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. 17 ] 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: 17 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. 17 ] 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. 17 ] Available from: https://doi.org/10.1080/02664763.2021.1896684
Artigo de periodico
A random effect regression based on the odd log-logistic generalized inverse Gaussian distribution (2022)
Vasconcelos, Julio Cezar Souza ; Cordeiro, Gauss Moutinho ; Ortega, Edwin Moises Marcos ; Silva, G. O
Source: Journal of Applied Statistics. Unidade: ESALQ
Subjects: ANÁLISE DE DADOS, DISTRIBUIÇÕES (PROBABILIDADE), ESTUDOS RANDOMIZADOS, MODELOS MATEMÁTICOS, PROCESSOS GAUSSIANOS, SIMULAÇÃO (ESTATÍSTICA), VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VASCONCELOS, Julio Cezar Souza et al. A random effect regression based on the odd log-logistic generalized inverse Gaussian distribution. Journal of Applied Statistics, 2022Tradução . . Disponível em: https://doi.org/10.1080/02664763.2021.2024515. Acesso em: 17 out. 2024.
APA
Vasconcelos, J. C. S., Cordeiro, G. M., Ortega, E. M. M., & Silva, G. O. (2022). A random effect regression based on the odd log-logistic generalized inverse Gaussian distribution. Journal of Applied Statistics. doi:10.1080/02664763.2021.2024515
NLM
Vasconcelos JCS, Cordeiro GM, Ortega EMM, Silva GO. A random effect regression based on the odd log-logistic generalized inverse Gaussian distribution [Internet]. Journal of Applied Statistics. 2022 ;[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2021.2024515
Vancouver
Vasconcelos JCS, Cordeiro GM, Ortega EMM, Silva GO. A random effect regression based on the odd log-logistic generalized inverse Gaussian distribution [Internet]. Journal of Applied Statistics. 2022 ;[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2021.2024515

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