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Artigo de periodico
A mixed Bell regression model for overdispersed medical count data (2025)
Santos, Naiara Caroline Aparecido dos ; Bazán Guzmán, Jorge Luis ; Lemonte, Artur José
Source: Journal of Applied Statistics. Unidade: ICMC
Subjects: DISTRIBUIÇÃO DISCRETA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, INFERÊNCIA BAYESIANA, SIMULAÇÃO (ESTATÍSTICA), PROCESSOS DE POISSON
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ABNT
SANTOS, Naiara Caroline Aparecido dos e BAZÁN GUZMÁN, Jorge Luis e LEMONTE, Artur José. A mixed Bell regression model for overdispersed medical count data. Journal of Applied Statistics, 2025Tradução . . Disponível em: https://doi.org/10.1080/02664763.2025.2538084. Acesso em: 08 out. 2025.
APA
Santos, N. C. A. dos, Bazán Guzmán, J. L., & Lemonte, A. J. (2025). A mixed Bell regression model for overdispersed medical count data. Journal of Applied Statistics. doi:10.1080/02664763.2025.2538084
NLM
Santos NCA dos, Bazán Guzmán JL, Lemonte AJ. A mixed Bell regression model for overdispersed medical count data [Internet]. Journal of Applied Statistics. 2025 ;[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/02664763.2025.2538084
Vancouver
Santos NCA dos, Bazán Guzmán JL, Lemonte AJ. A mixed Bell regression model for overdispersed medical count data [Internet]. Journal of Applied Statistics. 2025 ;[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/02664763.2025.2538084
Artigo de periodico
Gradient test to assess homogeneity of probabilities in discrete-time transition models with application in agricultural science data (2025)
Paula, Laura Vicuña Torres de ; Lara, Idemauro Antonio Rodrigues de ; Taconeli, Cesar Auguto; Reigada, Carolina; Moral, Rafael de Andrade
Source: Journal of Applied Statistics. Unidade: ESALQ
Subjects: ANÁLISE DE DADOS LONGITUDINAIS, CIÊNCIAS AGRÁRIAS, CONTROLE BIOLÓGICO, DADOS CATEGORIZADOS, MODELOS PARA PROCESSOS ESTOCÁSTICOS, PROBABILIDADE, SIMULAÇÃO (ESTATÍSTICA), VEROSSIMILHANÇA
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PAULA, Laura Vicuña Torres de et al. Gradient test to assess homogeneity of probabilities in discrete-time transition models with application in agricultural science data. Journal of Applied Statistics, 2025Tradução . . Disponível em: https://doi.org/10.1080/02664763.2025.2457008. Acesso em: 08 out. 2025.
APA
Paula, L. V. T. de, Lara, I. A. R. de, Taconeli, C. A., Reigada, C., & Moral, R. de A. (2025). Gradient test to assess homogeneity of probabilities in discrete-time transition models with application in agricultural science data. Journal of Applied Statistics. doi:10.1080/02664763.2025.2457008
NLM
Paula LVT de, Lara IAR de, Taconeli CA, Reigada C, Moral R de A. Gradient test to assess homogeneity of probabilities in discrete-time transition models with application in agricultural science data [Internet]. Journal of Applied Statistics. 2025 ;[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/02664763.2025.2457008
Vancouver
Paula LVT de, Lara IAR de, Taconeli CA, Reigada C, Moral R de A. Gradient test to assess homogeneity of probabilities in discrete-time transition models with application in agricultural science data [Internet]. Journal of Applied Statistics. 2025 ;[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/02664763.2025.2457008
Artigo de periodico
Influence measures for L1 regression: an analysis with the R package diagL1 (2025)
Rodrigues, Kévin A. S. ; Elian, Silvia Nagib
Source: Journal of Applied Statistics. Unidade: IME
Assunto: ESTATÍSTICA
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RODRIGUES, Kévin A. S. e ELIAN, Silvia Nagib. Influence measures for L1 regression: an analysis with the R package diagL1. Journal of Applied Statistics, 2025Tradução . . Disponível em: https://doi.org/10.1080/02664763.2025.2510691. Acesso em: 08 out. 2025.
APA
Rodrigues, K. A. S., & Elian, S. N. (2025). Influence measures for L1 regression: an analysis with the R package diagL1. Journal of Applied Statistics. doi:10.1080/02664763.2025.2510691
NLM
Rodrigues KAS, Elian SN. Influence measures for L1 regression: an analysis with the R package diagL1 [Internet]. Journal of Applied Statistics. 2025 ;[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/02664763.2025.2510691
Vancouver
Rodrigues KAS, Elian SN. Influence measures for L1 regression: an analysis with the R package diagL1 [Internet]. Journal of Applied Statistics. 2025 ;[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/02664763.2025.2510691
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: 08 out. 2025.
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 2025 out. 08 ] 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 2025 out. 08 ] 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: Interinstitucional de Pós-Graduação em Estatística
Subjects: INFERÊNCIA BAYESIANA, REGRESSÃO LINEAR, ESTATÍSTICA APLICADA, FATORES SOCIOECONÔMICOS, DIAGNÓSTICO PRÉ-NATAL
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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: 08 out. 2025.
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 2025 out. 08 ] 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 2025 out. 08 ] Available from: https://doi.org/10.1080/02664763.2022.2164561
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)
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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: 08 out. 2025.
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 2025 out. 08 ] 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 2025 out. 08 ] Available from: https://doi.org/10.1080/02664763.2022.2163229
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
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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: 08 out. 2025.
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 2025 out. 08 ] 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 2025 out. 08 ] 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
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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: 08 out. 2025.
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 2025 out. 08 ] 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 2025 out. 08 ] 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
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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: 08 out. 2025.
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 2025 out. 08 ] 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 2025 out. 08 ] 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, Interinstitucional de Pós-Graduação em Estatística
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: 08 out. 2025.
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 2025 out. 08 ] 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 2025 out. 08 ] 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, Interinstitucional de Pós-Graduação em Estatística
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: 08 out. 2025.
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 2025 out. 08 ] 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 2025 out. 08 ] 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
Source: Journal of Applied Statistics. Unidades: ICMC, Interinstitucional de Pós-Graduação em Estatística
Subjects: 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: 08 out. 2025.
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 2025 out. 08 ] 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 2025 out. 08 ] 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 Moises 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
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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: 08 out. 2025.
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 2025 out. 08 ] 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 2025 out. 08 ] 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
Source: 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: 08 out. 2025.
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 2025 out. 08 ] 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 2025 out. 08 ] Available from: https://doi.org/10.1080/02664763.2022.2034141
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
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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: 08 out. 2025.
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 2025 out. 08 ] 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 2025 out. 08 ] Available from: https://doi.org/10.1080/02664763.2022.2070136
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: 08 out. 2025.
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 2025 out. 08 ] 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 2025 out. 08 ] 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: 08 out. 2025.
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 2025 out. 08 ] 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 2025 out. 08 ] 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: 08 out. 2025.
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 2025 out. 08 ] 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 2025 out. 08 ] 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: 08 out. 2025.
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 2025 out. 08 ] 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 2025 out. 08 ] 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: 08 out. 2025.
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 2025 out. 08 ] 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 2025 out. 08 ] Available from: https://doi.org/10.1080/02664763.2021.1922994

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