ReP USP - Resultado da busca

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: 19 nov. 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 nov. 19 ] 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 nov. 19 ] Available from: https://doi.org/10.1080/02664763.2023.2230533
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: 19 nov. 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 nov. 19 ] 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 nov. 19 ] Available from: https://doi.org/10.1080/02664763.2024.2337086
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: 19 nov. 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 nov. 19 ] 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 nov. 19 ] 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
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: 19 nov. 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 nov. 19 ] 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 nov. 19 ] 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: 19 nov. 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 nov. 19 ] 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 nov. 19 ] 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: 19 nov. 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 nov. 19 ] 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 nov. 19 ] 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: 19 nov. 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 nov. 19 ] 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 nov. 19 ] 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: 19 nov. 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 nov. 19 ] 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 nov. 19 ] Available from: https://doi.org/10.1080/02664763.2021.1922994
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
Source: Journal of Applied Statistics. Unidade: ICMC
Subjects: 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: 19 nov. 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 nov. 19 ] 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 nov. 19 ] Available from: https://doi.org/10.1080/02664763.2020.1783518
Artigo de periodico
Accurate estimation for extra-Poisson variability assuming random effect models (2021)
Oliveira, Ricardo Puziol de; Achcar, Jorge Alberto
Source: Journal of Applied Statistics. Unidade: FMRP
Subjects: INFERÊNCIA BAYESIANA, ANÁLISE ESTATÍSTICA DE DADOS, DISTRIBUIÇÃO BINOMIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Ricardo Puziol de e ACHCAR, Jorge Alberto. Accurate estimation for extra-Poisson variability assuming random effect models. Journal of Applied Statistics, v. 48, n. 16, p. 2982-3001, 2021Tradução . . Disponível em: https://doi.org/10.1080/02664763.2020.1789075. Acesso em: 19 nov. 2024.
APA
Oliveira, R. P. de, & Achcar, J. A. (2021). Accurate estimation for extra-Poisson variability assuming random effect models. Journal of Applied Statistics, 48( 16), 2982-3001. doi:10.1080/02664763.2020.1789075
NLM
Oliveira RP de, Achcar JA. Accurate estimation for extra-Poisson variability assuming random effect models [Internet]. Journal of Applied Statistics. 2021 ; 48( 16): 2982-3001.[citado 2024 nov. 19 ] Available from: https://doi.org/10.1080/02664763.2020.1789075
Vancouver
Oliveira RP de, Achcar JA. Accurate estimation for extra-Poisson variability assuming random effect models [Internet]. Journal of Applied Statistics. 2021 ; 48( 16): 2982-3001.[citado 2024 nov. 19 ] Available from: https://doi.org/10.1080/02664763.2020.1789075
Artigo de periodico
A new heteroscedastic regression to analyze mass loss of wood in civil construction in Brazil (2021)
Vasconcelos, Julio Cezar Souza ; Ortega, Edwin Moises Marcos ; Vasconcelos, J. S; Cordeiro, Gauss Moutinho ; Vivan, A. L; Biaggioni, M. A. M
Source: Journal of Applied Statistics. Unidade: ESALQ
Subjects: CARBONIZAÇÃO, CONSTRUÇÃO CIVIL, DISTRIBUIÇÃO NORMAL, HETEROSCEDASTICIDADE, MADEIRA, MODELOS MATEMÁTICOS, REGRESSÃO LINEAR, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VASCONCELOS, Julio Cezar Souza et al. A new heteroscedastic regression to analyze mass loss of wood in civil construction in Brazil. Journal of Applied Statistics, 2021Tradução . . Disponível em: https://doi.org/10.1080/02664763.2021.1890001. Acesso em: 19 nov. 2024.
APA
Vasconcelos, J. C. S., Ortega, E. M. M., Vasconcelos, J. S., Cordeiro, G. M., Vivan, A. L., & Biaggioni, M. A. M. (2021). A new heteroscedastic regression to analyze mass loss of wood in civil construction in Brazil. Journal of Applied Statistics. doi:10.1080/02664763.2021.1890001
NLM
Vasconcelos JCS, Ortega EMM, Vasconcelos JS, Cordeiro GM, Vivan AL, Biaggioni MAM. A new heteroscedastic regression to analyze mass loss of wood in civil construction in Brazil [Internet]. Journal of Applied Statistics. 2021 ;[citado 2024 nov. 19 ] Available from: https://doi.org/10.1080/02664763.2021.1890001
Vancouver
Vasconcelos JCS, Ortega EMM, Vasconcelos JS, Cordeiro GM, Vivan AL, Biaggioni MAM. A new heteroscedastic regression to analyze mass loss of wood in civil construction in Brazil [Internet]. Journal of Applied Statistics. 2021 ;[citado 2024 nov. 19 ] Available from: https://doi.org/10.1080/02664763.2021.1890001
Artigo de periodico
A new regression model for bimodal data and applications in agriculture (2020)
Vasconcelos, Julio Cezar Souza ; Cordeiro, Gauss Moutinho ; Ortega, Edwin Moises Marcos ; Rezende, É. M. de
Source: Journal of Applied Statistics. Unidade: ESALQ
Subjects: AGRICULTURA, DISTRIBUIÇÃO NORMAL, MODELOS MATEMÁTICOS, PROCESSOS GAUSSIANOS, REGRESSÃO LINEAR, SIMULAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VASCONCELOS, Julio Cezar Souza et al. A new regression model for bimodal data and applications in agriculture. Journal of Applied Statistics, p. 1-24, 2020Tradução . . Disponível em: https://doi.org/10.1080/02664763.2020.1723503. Acesso em: 19 nov. 2024.
APA
Vasconcelos, J. C. S., Cordeiro, G. M., Ortega, E. M. M., & Rezende, É. M. de. (2020). A new regression model for bimodal data and applications in agriculture. Journal of Applied Statistics, 1-24. doi:10.1080/02664763.2020.1723503
NLM
Vasconcelos JCS, Cordeiro GM, Ortega EMM, Rezende ÉM de. A new regression model for bimodal data and applications in agriculture [Internet]. Journal of Applied Statistics. 2020 ; 1-24.[citado 2024 nov. 19 ] Available from: https://doi.org/10.1080/02664763.2020.1723503
Vancouver
Vasconcelos JCS, Cordeiro GM, Ortega EMM, Rezende ÉM de. A new regression model for bimodal data and applications in agriculture [Internet]. Journal of Applied Statistics. 2020 ; 1-24.[citado 2024 nov. 19 ] Available from: https://doi.org/10.1080/02664763.2020.1723503
Artigo de periodico
Joint regression modeling of location and scale parameters of the skew t distribution with application in soil chemistry data (2020)
Prataviera, Fabio ; Batista, Aline Martineli ; Libardi, Paulo Leonel ; Cordeiro, Gauss Moutinho ; Ortega, Edwin Moises Marcos
Source: Journal of Applied Statistics. Unidade: ESALQ
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, QUÍMICA DO SOLO, REGRESSÃO LINEAR, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PRATAVIERA, Fabio et al. Joint regression modeling of location and scale parameters of the skew t distribution with application in soil chemistry data. Journal of Applied Statistics, p. 1-19-, 2020Tradução . . Disponível em: https://doi.org/10.1080/02664763.2020.1801608. Acesso em: 19 nov. 2024.
APA
Prataviera, F., Batista, A. M., Libardi, P. L., Cordeiro, G. M., & Ortega, E. M. M. (2020). Joint regression modeling of location and scale parameters of the skew t distribution with application in soil chemistry data. Journal of Applied Statistics, 1-19-. doi:10.1080/02664763.2020.1801608
NLM
Prataviera F, Batista AM, Libardi PL, Cordeiro GM, Ortega EMM. Joint regression modeling of location and scale parameters of the skew t distribution with application in soil chemistry data [Internet]. Journal of Applied Statistics. 2020 ; 1-19-.[citado 2024 nov. 19 ] Available from: https://doi.org/10.1080/02664763.2020.1801608
Vancouver
Prataviera F, Batista AM, Libardi PL, Cordeiro GM, Ortega EMM. Joint regression modeling of location and scale parameters of the skew t distribution with application in soil chemistry data [Internet]. Journal of Applied Statistics. 2020 ; 1-19-.[citado 2024 nov. 19 ] Available from: https://doi.org/10.1080/02664763.2020.1801608
Artigo de periodico
A class of residuals for outlier identification in zero adjusted regression models (2020)
Pereira, Gustavo H. A. ; Scudilio, Juliana ; Santos-Neto, Manoel ; Botter, Denise Aparecida ; Sandoval, Monica Carneiro
Source: Journal of Applied Statistics. Unidade: IME
Subjects: ODELOS LINEARES GENERALIZADOS, DIAGNÓSTICO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PEREIRA, Gustavo H. A. et al. A class of residuals for outlier identification in zero adjusted regression models. Journal of Applied Statistics, v. 47, n. 10, p. 1833-1847, 2020Tradução . . Disponível em: https://doi.org/10.1080/02664763.2019.1696759. Acesso em: 19 nov. 2024.
APA
Pereira, G. H. A., Scudilio, J., Santos-Neto, M., Botter, D. A., & Sandoval, M. C. (2020). A class of residuals for outlier identification in zero adjusted regression models. Journal of Applied Statistics, 47( 10), 1833-1847. doi:10.1080/02664763.2019.1696759
NLM
Pereira GHA, Scudilio J, Santos-Neto M, Botter DA, Sandoval MC. A class of residuals for outlier identification in zero adjusted regression models [Internet]. Journal of Applied Statistics. 2020 ; 47( 10): 1833-1847.[citado 2024 nov. 19 ] Available from: https://doi.org/10.1080/02664763.2019.1696759
Vancouver
Pereira GHA, Scudilio J, Santos-Neto M, Botter DA, Sandoval MC. A class of residuals for outlier identification in zero adjusted regression models [Internet]. Journal of Applied Statistics. 2020 ; 47( 10): 1833-1847.[citado 2024 nov. 19 ] Available from: https://doi.org/10.1080/02664763.2019.1696759
Artigo de periodico
Generalized symmetrical partial linear model (2020)
Vasconcelos, Julio Cezar Souza ; Lobos, Cristian Marcelo Villegas
Source: Journal of Applied Statistics. Unidade: ESALQ
Subjects: ALGORITMOS, DISTRIBUIÇÕES (PROBABILIDADE), ESTATÍSTICA APLICADA, MODELOS LINEARES GENERALIZADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VASCONCELOS, Julio Cezar Souza e LOBOS, Cristian Marcelo Villegas. Generalized symmetrical partial linear model. Journal of Applied Statistics, p. 1-16, 2020Tradução . . Disponível em: https://doi.org/10.1080/02664763.2020.1726301. Acesso em: 19 nov. 2024.
APA
Vasconcelos, J. C. S., & Lobos, C. M. V. (2020). Generalized symmetrical partial linear model. Journal of Applied Statistics, 1-16. doi:10.1080/02664763.2020.1726301
NLM
Vasconcelos JCS, Lobos CMV. Generalized symmetrical partial linear model [Internet]. Journal of Applied Statistics. 2020 ; 1-16.[citado 2024 nov. 19 ] Available from: https://doi.org/10.1080/02664763.2020.1726301
Vancouver
Vasconcelos JCS, Lobos CMV. Generalized symmetrical partial linear model [Internet]. Journal of Applied Statistics. 2020 ; 1-16.[citado 2024 nov. 19 ] Available from: https://doi.org/10.1080/02664763.2020.1726301
Artigo de periodico
The semiparametric regression model for bimodal data with different penalized smoothers applied to climatology, ethanol and air quality data (2020)
Vasconcelos, Julio Cezar Souza ; Cordeiro, Gauss Moutinho ; Ortega, Edwin Moises Marcos
Source: Journal of Applied Statistics. Unidade: ESALQ
Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, CLIMATOLOGIA, DISTRIBUIÇÕES (PROBABILIDADE), ETANOL, INFERÊNCIA SEMIPARAMÉTRICA, MODELOS MATEMÁTICOS, PROCESSOS GAUSSIANOS, QUALIDADE DO AR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VASCONCELOS, Julio Cezar Souza e CORDEIRO, Gauss Moutinho e ORTEGA, Edwin Moises Marcos. The semiparametric regression model for bimodal data with different penalized smoothers applied to climatology, ethanol and air quality data. Journal of Applied Statistics, p. 1-20, 2020Tradução . . Disponível em: https://doi.org/10.1080/02664763.2020.1803812. Acesso em: 19 nov. 2024.
APA
Vasconcelos, J. C. S., Cordeiro, G. M., & Ortega, E. M. M. (2020). The semiparametric regression model for bimodal data with different penalized smoothers applied to climatology, ethanol and air quality data. Journal of Applied Statistics, 1-20. doi:10.1080/02664763.2020.1803812
NLM
Vasconcelos JCS, Cordeiro GM, Ortega EMM. The semiparametric regression model for bimodal data with different penalized smoothers applied to climatology, ethanol and air quality data [Internet]. Journal of Applied Statistics. 2020 ; 1-20.[citado 2024 nov. 19 ] Available from: https://doi.org/10.1080/02664763.2020.1803812
Vancouver
Vasconcelos JCS, Cordeiro GM, Ortega EMM. The semiparametric regression model for bimodal data with different penalized smoothers applied to climatology, ethanol and air quality data [Internet]. Journal of Applied Statistics. 2020 ; 1-20.[citado 2024 nov. 19 ] Available from: https://doi.org/10.1080/02664763.2020.1803812
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: 19 nov. 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 nov. 19 ] 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 nov. 19 ] 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
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: 19 nov. 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 nov. 19 ] 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 nov. 19 ] Available from: https://doi.org/10.1080/02664763.2019.1706725
Artigo de periodico
The Rayleigh–Lindley model: properties and applications (2019)
Gómez, Yolanda M; Gallardo, Diego I; Iriarte, Yuri; Bolfarine, Heleno
Source: Journal of Applied Statistics. Unidade: IME
Assunto: ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GÓMEZ, Yolanda M et al. The Rayleigh–Lindley model: properties and applications. Journal of Applied Statistics, v. 46, n. 1, p. 141-163, 2019Tradução . . Disponível em: https://doi.org/10.1080/02664763.2018.1458825. Acesso em: 19 nov. 2024.
APA
Gómez, Y. M., Gallardo, D. I., Iriarte, Y., & Bolfarine, H. (2019). The Rayleigh–Lindley model: properties and applications. Journal of Applied Statistics, 46( 1), 141-163. doi:10.1080/02664763.2018.1458825
NLM
Gómez YM, Gallardo DI, Iriarte Y, Bolfarine H. The Rayleigh–Lindley model: properties and applications [Internet]. Journal of Applied Statistics. 2019 ; 46( 1): 141-163.[citado 2024 nov. 19 ] Available from: https://doi.org/10.1080/02664763.2018.1458825
Vancouver
Gómez YM, Gallardo DI, Iriarte Y, Bolfarine H. The Rayleigh–Lindley model: properties and applications [Internet]. Journal of Applied Statistics. 2019 ; 46( 1): 141-163.[citado 2024 nov. 19 ] Available from: https://doi.org/10.1080/02664763.2018.1458825
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
Source: Journal of Applied Statistics. Unidades: FEA, ICMC, INTER: ICMC -UFSCAR
Subjects: 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: 19 nov. 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 nov. 19 ] 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 nov. 19 ] Available from: https://doi.org/10.1080/02664763.2019.1592125

USP Schools

ReP

Filtros

USP Schools

Departament

Authors

USP affiliated authors

Date published

Subjects

Funding Agencies

Indexado em

Normalized affiliation

Non normalized affiliation

Countries of institutions of collaboration