ReP USP - Resultado da busca

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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 01 nov. 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 nov. 01 ] 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 nov. 01 ] Available from: https://doi.org/10.1080/02664763.2024.2367150
Artigo de periodico
The unit omega distribution, properties and its application (2024)
Prataviera, Fábio ; Cordeiro, Gauss M
Source: American Journal of Mathematical and Management Sciences. Unidade: ESALQ
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA, MÉTODO DE MONTE CARLO, MODELOS MATEMÁTICOS, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PRATAVIERA, Fábio e CORDEIRO, Gauss M. The unit omega distribution, properties and its application. American Journal of Mathematical and Management Sciences, p. 1-5, 2024Tradução . . Disponível em: https://doi.org/10.1080/01966324.2024.2310648. Acesso em: 01 nov. 2024.
APA
Prataviera, F., & Cordeiro, G. M. (2024). The unit omega distribution, properties and its application. American Journal of Mathematical and Management Sciences, 1-5. doi:10.1080/01966324.2024.2310648
NLM
Prataviera F, Cordeiro GM. The unit omega distribution, properties and its application [Internet]. American Journal of Mathematical and Management Sciences. 2024 ; 1-5.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/01966324.2024.2310648
Vancouver
Prataviera F, Cordeiro GM. The unit omega distribution, properties and its application [Internet]. American Journal of Mathematical and Management Sciences. 2024 ; 1-5.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/01966324.2024.2310648
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: 01 nov. 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 nov. 01 ] 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 nov. 01 ] 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: 01 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. 01 ] 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. 01 ] Available from: https://doi.org/10.1080/02664763.2024.2337086
Artigo de periodico
A new regression model under informative censoring mechanism with applications (2024)
Vigas, Valdemiro Piedade; Ortega, Edwin Moises Marcos ; Cordeiro, Gauss M; Silva, Giovani L ; Santos Junior, Paulo C. dos
Source: Communications in Statistics. Theory and Methods. Unidade: ESALQ
Subjects: ANÁLISE DE SOBREVIVÊNCIA, DADOS CENSURADOS, DISTRIBUIÇÃO LOGÍSTICA, MODELOS MATEMÁTICOS, REGRESSÃO LINEAR, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VIGAS, Valdemiro Piedade et al. A new regression model under informative censoring mechanism with applications. Communications in Statistics. Theory and Methods, p. 1-6, 2024Tradução . . Disponível em: https://doi.org/10.1080/03610926.2024.2371487. Acesso em: 01 nov. 2024.
APA
Vigas, V. P., Ortega, E. M. M., Cordeiro, G. M., Silva, G. L., & Santos Junior, P. C. dos. (2024). A new regression model under informative censoring mechanism with applications. Communications in Statistics. Theory and Methods, 1-6. doi:10.1080/03610926.2024.2371487
NLM
Vigas VP, Ortega EMM, Cordeiro GM, Silva GL, Santos Junior PC dos. A new regression model under informative censoring mechanism with applications [Internet]. Communications in Statistics. Theory and Methods. 2024 ; 1-6.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/03610926.2024.2371487
Vancouver
Vigas VP, Ortega EMM, Cordeiro GM, Silva GL, Santos Junior PC dos. A new regression model under informative censoring mechanism with applications [Internet]. Communications in Statistics. Theory and Methods. 2024 ; 1-6.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/03610926.2024.2371487
Artigo de periodico
Evaluation of maximum likelihood procedures in ranked set sampling under imperfect ranking (2023)
Taconeli, Cesar Augusto; Lara, Idemauro Antonio Rodrigues de
Source: Communications in Statistics - Simulation and Computation. Unidade: ESALQ
Subjects: AMOSTRAGEM, INFERÊNCIA ESTATÍSTICA, MÉTODO DE MONTE CARLO, REAMOSTRAGEM BOOTSTRAP, TEORIA ASSINTÓTICA, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TACONELI, Cesar Augusto e LARA, Idemauro Antonio Rodrigues de. Evaluation of maximum likelihood procedures in ranked set sampling under imperfect ranking. Communications in Statistics - Simulation and Computation, p. 1-23, 2023Tradução . . Disponível em: https://doi.org/10.1080/03610918.2023.2196749. Acesso em: 01 nov. 2024.
APA
Taconeli, C. A., & Lara, I. A. R. de. (2023). Evaluation of maximum likelihood procedures in ranked set sampling under imperfect ranking. Communications in Statistics - Simulation and Computation, 1-23. doi:10.1080/03610918.2023.2196749
NLM
Taconeli CA, Lara IAR de. Evaluation of maximum likelihood procedures in ranked set sampling under imperfect ranking [Internet]. Communications in Statistics - Simulation and Computation. 2023 ; 1-23.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/03610918.2023.2196749
Vancouver
Taconeli CA, Lara IAR de. Evaluation of maximum likelihood procedures in ranked set sampling under imperfect ranking [Internet]. Communications in Statistics - Simulation and Computation. 2023 ; 1-23.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/03610918.2023.2196749
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: 01 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. 01 ] 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. 01 ] Available from: https://doi.org/10.1080/02664763.2021.1973385
Artigo de periodico
Parametric and partially linear regressions for agricultural economy data (2022)
Vasconcelos, Julio Cezar S; Cordeiro, Gauss M; Ortega, Edwin Moises Marcos ; Saulo, Helton
Source: Communications in Statistics - Theory and Methods. Unidade: ESALQ
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), ECONOMIA AGRÍCOLA, MÉTODO DE MONTE CARLO, MODELOS MATEMÁTICOS, VEROSSIMILHANÇA, REGRESSÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VASCONCELOS, Julio Cezar S et al. Parametric and partially linear regressions for agricultural economy data. Communications in Statistics - Theory and Methods, 2022Tradução . . Disponível em: https://doi.org/10.1080/03610926.2022.2117987. Acesso em: 01 nov. 2024.
APA
Vasconcelos, J. C. S., Cordeiro, G. M., Ortega, E. M. M., & Saulo, H. (2022). Parametric and partially linear regressions for agricultural economy data. Communications in Statistics - Theory and Methods. doi:10.1080/03610926.2022.2117987
NLM
Vasconcelos JCS, Cordeiro GM, Ortega EMM, Saulo H. Parametric and partially linear regressions for agricultural economy data [Internet]. Communications in Statistics - Theory and Methods. 2022 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/03610926.2022.2117987
Vancouver
Vasconcelos JCS, Cordeiro GM, Ortega EMM, Saulo H. Parametric and partially linear regressions for agricultural economy data [Internet]. Communications in Statistics - Theory and Methods. 2022 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/03610926.2022.2117987
Artigo de periodico
An extended logit-normal regression with application to human development index data (2022)
Vasconcelos, Julio Cezar Souza ; Prataviera, Fabio ; Ortega, Edwin Moises Marcos ; Cordeiro, G. M
Source: Communications in Statistics - Simulation and Computation. Unidade: ESALQ
Subjects: DESENVOLVIMENTO HUMANO, MÉTODO DE MONTE CARLO, MODELOS MATEMÁTICOS, PROBABILIDADE, 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. An extended logit-normal regression with application to human development index data. Communications in Statistics - Simulation and Computation, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1080/03610918.2022.2045497. Acesso em: 01 nov. 2024.
APA
Vasconcelos, J. C. S., Prataviera, F., Ortega, E. M. M., & Cordeiro, G. M. (2022). An extended logit-normal regression with application to human development index data. Communications in Statistics - Simulation and Computation, 1-13. doi:10.1080/03610918.2022.2045497
NLM
Vasconcelos JCS, Prataviera F, Ortega EMM, Cordeiro GM. An extended logit-normal regression with application to human development index data [Internet]. Communications in Statistics - Simulation and Computation. 2022 ; 1-13.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/03610918.2022.2045497
Vancouver
Vasconcelos JCS, Prataviera F, Ortega EMM, Cordeiro GM. An extended logit-normal regression with application to human development index data [Internet]. Communications in Statistics - Simulation and Computation. 2022 ; 1-13.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/03610918.2022.2045497
Artigo de periodico
Reparameterized extended Maxwell regression: properties, estimation and application (2022)
Prataviera, Fabio ; Vila, Roberto; Cancho, Vicente Garibay ; Ortega, Edwin Moises Marcos ; Cordeiro, Gauss M
Source: Communications in Statistics - Theory and Methods. Unidades: ICMC, ESALQ
Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA, MÉTODO DE MONTE CARLO, 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. Reparameterized extended Maxwell regression: properties, estimation and application. Communications in Statistics - Theory and Methods, p. 1-20, 2022Tradução . . Disponível em: https://doi.org/10.1080/03610926.2022.2042561. Acesso em: 01 nov. 2024.
APA
Prataviera, F., Vila, R., Cancho, V. G., Ortega, E. M. M., & Cordeiro, G. M. (2022). Reparameterized extended Maxwell regression: properties, estimation and application. Communications in Statistics - Theory and Methods, 1-20. doi:10.1080/03610926.2022.2042561
NLM
Prataviera F, Vila R, Cancho VG, Ortega EMM, Cordeiro GM. Reparameterized extended Maxwell regression: properties, estimation and application [Internet]. Communications in Statistics - Theory and Methods. 2022 ; 1-20.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/03610926.2022.2042561
Vancouver
Prataviera F, Vila R, Cancho VG, Ortega EMM, Cordeiro GM. Reparameterized extended Maxwell regression: properties, estimation and application [Internet]. Communications in Statistics - Theory and Methods. 2022 ; 1-20.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/03610926.2022.2042561
Artigo de periodico
A scalable method for the estimation of spatial disaggregation models (2022)
Fendrich, Arthur Nicolaus ; Helou, Elias Salomão ; Moreira, Lucas Esperancini Moreira e ; Dourado Neto, Durval
Source: Computers and Geosciences. Unidades: ICMC, ESALQ
Subjects: ANÁLISE DE DADOS, CANA-DE-AÇÚCAR, GEOPROCESSAMENTO, MODELOS MATEMÁTICOS, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FENDRICH, Arthur Nicolaus et al. A scalable method for the estimation of spatial disaggregation models. Computers and Geosciences, v. 166, p. 1-16, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.cageo.2022.105161. Acesso em: 01 nov. 2024.
APA
Fendrich, A. N., Helou, E. S., Moreira, L. E. M. e, & Dourado Neto, D. (2022). A scalable method for the estimation of spatial disaggregation models. Computers and Geosciences, 166, 1-16. doi:10.1016/j.cageo.2022.105161
NLM
Fendrich AN, Helou ES, Moreira LEM e, Dourado Neto D. A scalable method for the estimation of spatial disaggregation models [Internet]. Computers and Geosciences. 2022 ; 166 1-16.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1016/j.cageo.2022.105161
Vancouver
Fendrich AN, Helou ES, Moreira LEM e, Dourado Neto D. A scalable method for the estimation of spatial disaggregation models [Internet]. Computers and Geosciences. 2022 ; 166 1-16.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1016/j.cageo.2022.105161
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: 01 nov. 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 nov. 01 ] 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 nov. 01 ] Available from: https://doi.org/10.1080/02664763.2021.2024515
Artigo de periodico
An extended Maxwell semiparametric regression for censored and uncensored data (2021)
Prataviera, Fabio ; Ortega, Edwin Moises Marcos ; Cordeiro, Gauss M
Source: Communications in Statistics - Simulation and Computation. Unidade: ESALQ
Subjects: DADOS CENSURADOS, DISTRIBUIÇÕES (PROBABILIDADE), MÉTODO DE MONTE CARLO, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PRATAVIERA, Fabio e ORTEGA, Edwin Moises Marcos e CORDEIRO, Gauss M. An extended Maxwell semiparametric regression for censored and uncensored data. Communications in Statistics - Simulation and Computation, 2021Tradução . . Disponível em: https://doi.org/10.1080/03610918.2021.1934021. Acesso em: 01 nov. 2024.
APA
Prataviera, F., Ortega, E. M. M., & Cordeiro, G. M. (2021). An extended Maxwell semiparametric regression for censored and uncensored data. Communications in Statistics - Simulation and Computation. doi:10.1080/03610918.2021.1934021
NLM
Prataviera F, Ortega EMM, Cordeiro GM. An extended Maxwell semiparametric regression for censored and uncensored data [Internet]. Communications in Statistics - Simulation and Computation. 2021 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/03610918.2021.1934021
Vancouver
Prataviera F, Ortega EMM, Cordeiro GM. An extended Maxwell semiparametric regression for censored and uncensored data [Internet]. Communications in Statistics - Simulation and Computation. 2021 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/03610918.2021.1934021
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: 01 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. 01 ] 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. 01 ] Available from: https://doi.org/10.1080/02664763.2021.1890001
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: 01 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. 01 ] 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. 01 ] Available from: https://doi.org/10.1080/02664763.2020.1801608
Artigo de periodico
The parametric and additive partial linear regressions based on the generalized odd loglogistic log-normal distribution (2020)
Vasconcelos, Julio Cezar Souza ; Cordeiro, Gauss M; Ortega, Edwin Moises Marcos ; Biaggioni, Marco A. M
Source: Communications in Statistics-Theory and Methods. Unidade: ESALQ
Subjects: ANÁLISE ESTATÍSTICA DE DADOS, DISTRIBUIÇÃO LOGNORMAL, REGRESSÃO LINEAR, MODELOS MATEMÁTICOS, SUAVIZAÇÃO, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VASCONCELOS, Julio Cezar Souza et al. The parametric and additive partial linear regressions based on the generalized odd loglogistic log-normal distribution. Communications in Statistics-Theory and Methods, p. 1-29, 2020Tradução . . Disponível em: https://doi.org/10.1080/03610926.2020.1795681. Acesso em: 01 nov. 2024.
APA
Vasconcelos, J. C. S., Cordeiro, G. M., Ortega, E. M. M., & Biaggioni, M. A. M. (2020). The parametric and additive partial linear regressions based on the generalized odd loglogistic log-normal distribution. Communications in Statistics-Theory and Methods, 1-29. doi:10.1080/03610926.2020.1795681
NLM
Vasconcelos JCS, Cordeiro GM, Ortega EMM, Biaggioni MAM. The parametric and additive partial linear regressions based on the generalized odd loglogistic log-normal distribution [Internet]. Communications in Statistics-Theory and Methods. 2020 ; 1-29.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/03610926.2020.1795681
Vancouver
Vasconcelos JCS, Cordeiro GM, Ortega EMM, Biaggioni MAM. The parametric and additive partial linear regressions based on the generalized odd loglogistic log-normal distribution [Internet]. Communications in Statistics-Theory and Methods. 2020 ; 1-29.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/03610926.2020.1795681
Artigo de periodico
The exponentiated power exponential regression model with different regression structures: application in nursing data (2019)
Prataviera, F; Vasconcelos, Julio Cezar Souza ; Cordeiro, Gauss Moutinho ; Hashimoto, E. M; Ortega, Edwin Moises Marcos
Source: Journal of Applied Statistics. Unidade: ESALQ
Subjects: ANÁLISE ESTATÍSTICA DE DADOS, MODELOS MATEMÁTICOS, VEROSSIMILHANÇA, REGRESSÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PRATAVIERA, F et al. The exponentiated power exponential regression model with different regression structures: application in nursing data. Journal of Applied Statistics, p. 1-30, 2019Tradução . . Disponível em: https://doi.org/10.1080/02664763.2019.1572719. Acesso em: 01 nov. 2024.
APA
Prataviera, F., Vasconcelos, J. C. S., Cordeiro, G. M., Hashimoto, E. M., & Ortega, E. M. M. (2019). The exponentiated power exponential regression model with different regression structures: application in nursing data. Journal of Applied Statistics, 1-30. doi:10.1080/02664763.2019.1572719
NLM
Prataviera F, Vasconcelos JCS, Cordeiro GM, Hashimoto EM, Ortega EMM. The exponentiated power exponential regression model with different regression structures: application in nursing data [Internet]. Journal of Applied Statistics. 2019 ; 1-30.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/02664763.2019.1572719
Vancouver
Prataviera F, Vasconcelos JCS, Cordeiro GM, Hashimoto EM, Ortega EMM. The exponentiated power exponential regression model with different regression structures: application in nursing data [Internet]. Journal of Applied Statistics. 2019 ; 1-30.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/02664763.2019.1572719
Artigo de periodico
General mathematical properties, regression and applications of the log-gamma-generated family (2018)
Cordeiro, Gauss M; Bourguignon, Marcelo; Ortega, Edwin Moises Marcos; Ramires, Thiago G
Source: Communications in Statistics - Theory and Methods. Unidade: ESALQ
Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, ANÁLISE DE SOBREVIVÊNCIA, DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CORDEIRO, Gauss M et al. General mathematical properties, regression and applications of the log-gamma-generated family. Communications in Statistics - Theory and Methods, v. 47, n. 5, p. 1050-1070, 2018Tradução . . Disponível em: https://doi.org/10.1080/03610926.2017.1316403. Acesso em: 01 nov. 2024.
APA
Cordeiro, G. M., Bourguignon, M., Ortega, E. M. M., & Ramires, T. G. (2018). General mathematical properties, regression and applications of the log-gamma-generated family. Communications in Statistics - Theory and Methods, 47( 5), 1050-1070. doi:10.1080/03610926.2017.1316403
NLM
Cordeiro GM, Bourguignon M, Ortega EMM, Ramires TG. General mathematical properties, regression and applications of the log-gamma-generated family [Internet]. Communications in Statistics - Theory and Methods. 2018 ; 47( 5): 1050-1070.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/03610926.2017.1316403
Vancouver
Cordeiro GM, Bourguignon M, Ortega EMM, Ramires TG. General mathematical properties, regression and applications of the log-gamma-generated family [Internet]. Communications in Statistics - Theory and Methods. 2018 ; 47( 5): 1050-1070.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/03610926.2017.1316403
Artigo de periodico
The Burr XII System of densities: properties, regression model and applications (2018)
Cordeiro, Gauss M; Yousof, Haitham M; Ramires, Thiago G; Ortega, Edwin Moises Marcos
Source: Journal of Statistical Computation and Simulation. Unidade: ESALQ
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA, REGRESSÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CORDEIRO, Gauss M et al. The Burr XII System of densities: properties, regression model and applications. Journal of Statistical Computation and Simulation, v. 88, n. 3, p. 432-456, 2018Tradução . . Disponível em: https://doi.org/10.1080/00949655.2017.1392524. Acesso em: 01 nov. 2024.
APA
Cordeiro, G. M., Yousof, H. M., Ramires, T. G., & Ortega, E. M. M. (2018). The Burr XII System of densities: properties, regression model and applications. Journal of Statistical Computation and Simulation, 88( 3), 432-456. doi:10.1080/00949655.2017.1392524
NLM
Cordeiro GM, Yousof HM, Ramires TG, Ortega EMM. The Burr XII System of densities: properties, regression model and applications [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( 3): 432-456.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/00949655.2017.1392524
Vancouver
Cordeiro GM, Yousof HM, Ramires TG, Ortega EMM. The Burr XII System of densities: properties, regression model and applications [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( 3): 432-456.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/00949655.2017.1392524
Artigo de periodico
Odd-Burr generalized family of distributions with some applications (2017)
Alizadeh, Morad; Cordeiro, Gauss M; Nascimento, Abraão D. C; Lima, Maria do Carmo S; Ortega, Edwin Moises Marcos
Source: Journal of Statistical Computation and Simulation. Unidade: ESALQ
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALIZADEH, Morad et al. Odd-Burr generalized family of distributions with some applications. Journal of Statistical Computation and Simulation, v. 87, n. 2, p. 367-389, 2017Tradução . . Disponível em: https://doi.org/10.1080/00949655.2016.1209200. Acesso em: 01 nov. 2024.
APA
Alizadeh, M., Cordeiro, G. M., Nascimento, A. D. C., Lima, M. do C. S., & Ortega, E. M. M. (2017). Odd-Burr generalized family of distributions with some applications. Journal of Statistical Computation and Simulation, 87( 2), 367-389. doi:10.1080/00949655.2016.1209200
NLM
Alizadeh M, Cordeiro GM, Nascimento ADC, Lima M do CS, Ortega EMM. Odd-Burr generalized family of distributions with some applications [Internet]. Journal of Statistical Computation and Simulation. 2017 ; 87( 2): 367-389.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/00949655.2016.1209200
Vancouver
Alizadeh M, Cordeiro GM, Nascimento ADC, Lima M do CS, Ortega EMM. Odd-Burr generalized family of distributions with some applications [Internet]. Journal of Statistical Computation and Simulation. 2017 ; 87( 2): 367-389.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/00949655.2016.1209200

USP Schools

ReP

Filtros

Authors

USP affiliated authors

Date published

Subjects

Source title

Funding Agencies

Non normalized affiliation

Countries of institutions of collaboration