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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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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: 15 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. 15 ] 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. 15 ] 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
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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: 15 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. 15 ] 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. 15 ] Available from: https://doi.org/10.1080/03610926.2024.2371487
Artigo de periodico
Spiral polyethylene tube solar collectors performance analyzed by a new partially linear regression model (2024)
Vasconcelos, Julio C. S; Santos, Denize Palmito dos ; Brandão, Fernando J. B; Ortega, Edwin Moises Marcos ; Biaggioni, Marco A. M.; Cordeiro, Gauss M
Source: Environment, Development and Sustainability. Unidade: ESALQ
Subjects: ENERGIA SOLAR, GRÃOS, MODELOS MATEMÁTICOS, REGRESSÃO LINEAR, SECAGEM, SIMULAÇÃO (ESTATÍSTICA)
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ABNT
VASCONCELOS, Julio C. S et al. Spiral polyethylene tube solar collectors performance analyzed by a new partially linear regression model. Environment, Development and Sustainability, v. 26, p. 5401-5417, 2024Tradução . . Disponível em: https://doi.org/10.1007/s10668-022-02847-w. Acesso em: 15 nov. 2024.
APA
Vasconcelos, J. C. S., Santos, D. P. dos, Brandão, F. J. B., Ortega, E. M. M., Biaggioni, M. A. M., & Cordeiro, G. M. (2024). Spiral polyethylene tube solar collectors performance analyzed by a new partially linear regression model. Environment, Development and Sustainability, 26, 5401-5417. doi:10.1007/s10668-022-02847-w
NLM
Vasconcelos JCS, Santos DP dos, Brandão FJB, Ortega EMM, Biaggioni MAM, Cordeiro GM. Spiral polyethylene tube solar collectors performance analyzed by a new partially linear regression model [Internet]. Environment, Development and Sustainability. 2024 ;26 5401-5417.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/s10668-022-02847-w
Vancouver
Vasconcelos JCS, Santos DP dos, Brandão FJB, Ortega EMM, Biaggioni MAM, Cordeiro GM. Spiral polyethylene tube solar collectors performance analyzed by a new partially linear regression model [Internet]. Environment, Development and Sustainability. 2024 ;26 5401-5417.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/s10668-022-02847-w
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
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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: 15 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. 15 ] 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. 15 ] Available from: https://doi.org/10.1080/03610926.2022.2117987
Tese (Doutorado)
The parametric, semiparametric and random effect regression model based on the extension of the generalized inverse Gaussian distribution (2021)
Vasconcelos, Julio Cezar Souza; Ortega, Edwin Moises Marcos (Orientador)
Unidade: ESALQ
Subjects: MODELOS MATEMÁTICOS, DISTRIBUIÇÕES (PROBABILIDADE), REGRESSÃO LINEAR, MEDIDAS REPETIDAS
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ABNT
VASCONCELOS, Julio Cezar Souza. The parametric, semiparametric and random effect regression model based on the extension of the generalized inverse Gaussian distribution. 2021. Tese (Doutorado) – Universidade de São Paulo, Piracicaba, 2021. Disponível em: https://www.teses.usp.br/teses/disponiveis/11/11134/tde-28052021-151316/. Acesso em: 15 nov. 2024.
APA
Vasconcelos, J. C. S. (2021). The parametric, semiparametric and random effect regression model based on the extension of the generalized inverse Gaussian distribution (Tese (Doutorado). Universidade de São Paulo, Piracicaba. Recuperado de https://www.teses.usp.br/teses/disponiveis/11/11134/tde-28052021-151316/
NLM
Vasconcelos JCS. The parametric, semiparametric and random effect regression model based on the extension of the generalized inverse Gaussian distribution [Internet]. 2021 ;[citado 2024 nov. 15 ] Available from: https://www.teses.usp.br/teses/disponiveis/11/11134/tde-28052021-151316/
Vancouver
Vasconcelos JCS. The parametric, semiparametric and random effect regression model based on the extension of the generalized inverse Gaussian distribution [Internet]. 2021 ;[citado 2024 nov. 15 ] Available from: https://www.teses.usp.br/teses/disponiveis/11/11134/tde-28052021-151316/
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: 15 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. 15 ] 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. 15 ] 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: 15 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. 15 ] 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. 15 ] 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: 15 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. 15 ] 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. 15 ] 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: 15 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. 15 ] 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. 15 ] Available from: https://doi.org/10.1080/03610926.2020.1795681
Artigo de periodico
The beta and simplex regression models to explain homicides in state capitals of Brazil (2020)
Cordeiro, Gauss M; Rocha, Enivaldo; Figueiredo, Dalson; Fernandes, Antônio; Ortega, Edwin Moises Marcos ; Prataviera, Fábio
Source: Model Assisted Statistics and Applications. Unidade: ESALQ
Subjects: HOMICÍDIO, MODELOS MATEMÁTICOS, REGRESSÃO LINEAR, VEROSSIMILHANÇA
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ABNT
CORDEIRO, Gauss M et al. The beta and simplex regression models to explain homicides in state capitals of Brazil. Model Assisted Statistics and Applications, v. 15, n. 3, p. 215–224, 2020Tradução . . Disponível em: https://doi.org/10.3233/MAS-200489. Acesso em: 15 nov. 2024.
APA
Cordeiro, G. M., Rocha, E., Figueiredo, D., Fernandes, A., Ortega, E. M. M., & Prataviera, F. (2020). The beta and simplex regression models to explain homicides in state capitals of Brazil. Model Assisted Statistics and Applications, 15( 3), 215–224. doi:10.3233/MAS-200489
NLM
Cordeiro GM, Rocha E, Figueiredo D, Fernandes A, Ortega EMM, Prataviera F. The beta and simplex regression models to explain homicides in state capitals of Brazil [Internet]. Model Assisted Statistics and Applications. 2020 ; 15( 3): 215–224.[citado 2024 nov. 15 ] Available from: https://doi.org/10.3233/MAS-200489
Vancouver
Cordeiro GM, Rocha E, Figueiredo D, Fernandes A, Ortega EMM, Prataviera F. The beta and simplex regression models to explain homicides in state capitals of Brazil [Internet]. Model Assisted Statistics and Applications. 2020 ; 15( 3): 215–224.[citado 2024 nov. 15 ] Available from: https://doi.org/10.3233/MAS-200489
Artigo de periodico
Log-Burr XII Gamma–Weibull Regression Model with Random Effects and Censored Data (2019)
Hashimoto, Elizabeth Mie; Silva, Giovana O; Ortega, Edwin Moises Marcos; Cordeiro, Gauss M
Source: Journal of Statistical Theory and Practice. Unidade: ESALQ
Subjects: DADOS CENSURADOS, DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, REGRESSÃO LINEAR, VEROSSIMILHANÇA
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ABNT
HASHIMOTO, Elizabeth Mie et al. Log-Burr XII Gamma–Weibull Regression Model with Random Effects and Censored Data. Journal of Statistical Theory and Practice, v. 13, n. 2, 2019Tradução . . Disponível em: https://doi.org/10.1007/s42519-018-0026-3. Acesso em: 15 nov. 2024.
APA
Hashimoto, E. M., Silva, G. O., Ortega, E. M. M., & Cordeiro, G. M. (2019). Log-Burr XII Gamma–Weibull Regression Model with Random Effects and Censored Data. Journal of Statistical Theory and Practice, 13( 2). doi:10.1007/s42519-018-0026-3
NLM
Hashimoto EM, Silva GO, Ortega EMM, Cordeiro GM. Log-Burr XII Gamma–Weibull Regression Model with Random Effects and Censored Data [Internet]. Journal of Statistical Theory and Practice. 2019 ; 13( 2):[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/s42519-018-0026-3
Vancouver
Hashimoto EM, Silva GO, Ortega EMM, Cordeiro GM. Log-Burr XII Gamma–Weibull Regression Model with Random Effects and Censored Data [Internet]. Journal of Statistical Theory and Practice. 2019 ; 13( 2):[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/s42519-018-0026-3
Artigo de periodico
Zero-spiked regression models generated by gamma random variables with application in the resin oil production (2019)
Hashimoto, Elizabeth M; Ortega, Edwin Moises Marcos; Cordeiro, Gauss M; Cancho, Vicente Garibay ; Klauberg, Carine
Source: Journal of Statistical Computation and Simulation. Unidade: ESALQ
Subjects: REGRESSÃO LINEAR, ÓLEOS VEGETAIS, COPAÍBA, RESINAS VEGETAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HASHIMOTO, Elizabeth M et al. Zero-spiked regression models generated by gamma random variables with application in the resin oil production. Journal of Statistical Computation and Simulation, v. 89, n. 1, p. 52-70, 2019Tradução . . Disponível em: https://doi.org/10.1080/00949655.2018.1534116. Acesso em: 15 nov. 2024.
APA
Hashimoto, E. M., Ortega, E. M. M., Cordeiro, G. M., Cancho, V. G., & Klauberg, C. (2019). Zero-spiked regression models generated by gamma random variables with application in the resin oil production. Journal of Statistical Computation and Simulation, 89( 1), 52-70. doi:10.1080/00949655.2018.1534116
NLM
Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Klauberg C. Zero-spiked regression models generated by gamma random variables with application in the resin oil production [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 1): 52-70.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1080/00949655.2018.1534116
Vancouver
Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Klauberg C. Zero-spiked regression models generated by gamma random variables with application in the resin oil production [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 1): 52-70.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1080/00949655.2018.1534116
Artigo de periodico
The odd log-logistic geometric normal regression model with applications (2019)
Prataviera, Fábio; Cordeiro, Gauss M.; Ortega, Edwin Moises Marcos; Suzuki, Adriano Kamimura ; Amaro Jr., Edson
Source: Advances in Data Science and Adaptive Analysis. Unidades: ESALQ, ICMC
Subjects: REGRESSÃO LOGÍSTICA, DISTRIBUIÇÃO NORMAL, REGRESSÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PRATAVIERA, Fábio et al. The odd log-logistic geometric normal regression model with applications. Advances in Data Science and Adaptive Analysis, v. 11, n. 1, p. 1950003-1-1950003-25, 2019Tradução . . Disponível em: https://doi.org/10.1142/S2424922X19500037. Acesso em: 15 nov. 2024.
APA
Prataviera, F., Cordeiro, G. M., Ortega, E. M. M., Suzuki, A. K., & Amaro Jr., E. (2019). The odd log-logistic geometric normal regression model with applications. Advances in Data Science and Adaptive Analysis, 11( 1), 1950003-1-1950003-25. doi:10.1142/S2424922X19500037
NLM
Prataviera F, Cordeiro GM, Ortega EMM, Suzuki AK, Amaro Jr. E. The odd log-logistic geometric normal regression model with applications [Internet]. Advances in Data Science and Adaptive Analysis. 2019 ; 11( 1): 1950003-1-1950003-25.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1142/S2424922X19500037
Vancouver
Prataviera F, Cordeiro GM, Ortega EMM, Suzuki AK, Amaro Jr. E. The odd log-logistic geometric normal regression model with applications [Internet]. Advances in Data Science and Adaptive Analysis. 2019 ; 11( 1): 1950003-1-1950003-25.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1142/S2424922X19500037
Artigo de periodico
A new useful four-parameter extension of the Gumbel distribution: properties, regression model and applications using the GAMLSS framework (2019)
Alizadeh, Morad ; Ramires, Thiago G ; Mirmostafaee, S. M. T. K.; Samizadeh, Maryam; Ortega, Edwin Moises Marcos
Source: Communications in Statistics - Simulation and Computation. Unidade: ESALQ
Subjects: REGRESSÃO LINEAR, VEROSSIMILHANÇA, DISTRIBUIÇÕES (PROBABILIDADE)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALIZADEH, Morad et al. A new useful four-parameter extension of the Gumbel distribution: properties, regression model and applications using the GAMLSS framework. Communications in Statistics - Simulation and Computation, v. 48, n. 6, p. 1746–1767, 2019Tradução . . Disponível em: https://doi.org/10.1080/03610918.2018.1423691. Acesso em: 15 nov. 2024.
APA
Alizadeh, M., Ramires, T. G., Mirmostafaee, S. M. T. K., Samizadeh, M., & Ortega, E. M. M. (2019). A new useful four-parameter extension of the Gumbel distribution: properties, regression model and applications using the GAMLSS framework. Communications in Statistics - Simulation and Computation, 48( 6), 1746–1767. doi:10.1080/03610918.2018.1423691
NLM
Alizadeh M, Ramires TG, Mirmostafaee SMTK, Samizadeh M, Ortega EMM. A new useful four-parameter extension of the Gumbel distribution: properties, regression model and applications using the GAMLSS framework [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 48( 6): 1746–1767.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1080/03610918.2018.1423691
Vancouver
Alizadeh M, Ramires TG, Mirmostafaee SMTK, Samizadeh M, Ortega EMM. A new useful four-parameter extension of the Gumbel distribution: properties, regression model and applications using the GAMLSS framework [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 48( 6): 1746–1767.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1080/03610918.2018.1423691
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: 15 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. 15 ] 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. 15 ] Available from: https://doi.org/10.1080/02664763.2019.1572719
Artigo de periodico
The four-parameter Burr XII distribution: properties, regression model, and applications (2018)
Afify, Ahmed Z; Cordeiro, Gauss M; Ortega, Edwin Moises Marcos ; Yousof, Haitham M; Butt, Nadeem Shafique
Source: Communications in Statistics - Theory and Methods. Unidade: ESALQ
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, REGRESSÃO LINEAR, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AFIFY, Ahmed Z et al. The four-parameter Burr XII distribution: properties, regression model, and applications. Communications in Statistics - Theory and Methods, v. 47, n. 11, p. 2605-2624, 2018Tradução . . Disponível em: https://doi.org/10.1080/03610926.2016.1231821. Acesso em: 15 nov. 2024.
APA
Afify, A. Z., Cordeiro, G. M., Ortega, E. M. M., Yousof, H. M., & Butt, N. S. (2018). The four-parameter Burr XII distribution: properties, regression model, and applications. Communications in Statistics - Theory and Methods, 47( 11), 2605-2624. doi:10.1080/03610926.2016.1231821
NLM
Afify AZ, Cordeiro GM, Ortega EMM, Yousof HM, Butt NS. The four-parameter Burr XII distribution: properties, regression model, and applications [Internet]. Communications in Statistics - Theory and Methods. 2018 ; 47( 11): 2605-2624.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1080/03610926.2016.1231821
Vancouver
Afify AZ, Cordeiro GM, Ortega EMM, Yousof HM, Butt NS. The four-parameter Burr XII distribution: properties, regression model, and applications [Internet]. Communications in Statistics - Theory and Methods. 2018 ; 47( 11): 2605-2624.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1080/03610926.2016.1231821
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: 15 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. 15 ] 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. 15 ] Available from: https://doi.org/10.1080/00949655.2017.1392524
Artigo de periodico
A useful extension of the Burr III distribution (2017)
Cordeiro, Gauss M; Gomes, Antonio E; Silva, Cibele Q. da; Ortega, Edwin Moises Marcos
Source: Journal of Statistical Distributions and Applications. Unidade: ESALQ
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), ESTIMAÇÃO PARAMÉTRICA, MODELOS MATEMÁTICOS, REGRESSÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CORDEIRO, Gauss M et al. A useful extension of the Burr III distribution. Journal of Statistical Distributions and Applications, v. 4, p. 1-15, 2017Tradução . . Disponível em: https://doi.org/10.1186/s40488-017-0079-y. Acesso em: 15 nov. 2024.
APA
Cordeiro, G. M., Gomes, A. E., Silva, C. Q. da, & Ortega, E. M. M. (2017). A useful extension of the Burr III distribution. Journal of Statistical Distributions and Applications, 4, 1-15. doi:10.1186/s40488-017-0079-y
NLM
Cordeiro GM, Gomes AE, Silva CQ da, Ortega EMM. A useful extension of the Burr III distribution [Internet]. Journal of Statistical Distributions and Applications. 2017 ; 4 1-15.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1186/s40488-017-0079-y
Vancouver
Cordeiro GM, Gomes AE, Silva CQ da, Ortega EMM. A useful extension of the Burr III distribution [Internet]. Journal of Statistical Distributions and Applications. 2017 ; 4 1-15.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1186/s40488-017-0079-y
Artigo de periodico
Extended Burr XII regression models: theory and applications (2016)
Lanjoni, Beatriz R; Ortega, Edwin Moises Marcos ; Cordeiro, Gauss M
Source: Journal of Agricultural, Biological, and Environmental Statistics. Unidade: ESALQ
Subjects: MODELOS MATEMÁTICOS, DISTRIBUIÇÕES (PROBABILIDADE), REGRESSÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LANJONI, Beatriz R e ORTEGA, Edwin Moises Marcos e CORDEIRO, Gauss M. Extended Burr XII regression models: theory and applications. Journal of Agricultural, Biological, and Environmental Statistics, v. 1, p. 203–224, 2016Tradução . . Disponível em: https://doi.org/10.1007/s13253-015-0236-z. Acesso em: 15 nov. 2024.
APA
Lanjoni, B. R., Ortega, E. M. M., & Cordeiro, G. M. (2016). Extended Burr XII regression models: theory and applications. Journal of Agricultural, Biological, and Environmental Statistics, 1, 203–224. doi:10.1007/s13253-015-0236-z
NLM
Lanjoni BR, Ortega EMM, Cordeiro GM. Extended Burr XII regression models: theory and applications [Internet]. Journal of Agricultural, Biological, and Environmental Statistics. 2016 ; 1 203–224.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/s13253-015-0236-z
Vancouver
Lanjoni BR, Ortega EMM, Cordeiro GM. Extended Burr XII regression models: theory and applications [Internet]. Journal of Agricultural, Biological, and Environmental Statistics. 2016 ; 1 203–224.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/s13253-015-0236-z
Artigo de periodico
A log-linear regression model for the odd Weibull distribution with censored data (2014)
Ortega, Edwin Moises Marcos ; Cordeiro, Gauss M ; Hashimoto, Elizabeth Mie ; Cooray, Kahadawala
Source: Journal of Applied Statistics. Unidade: ESALQ
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), REGRESSÃO LINEAR, DADOS CENSURADOS, ANÁLISE DE SOBREVIVÊNCIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ORTEGA, Edwin Moises Marcos et al. A log-linear regression model for the odd Weibull distribution with censored data. Journal of Applied Statistics, v. 41, n. 9, p. 1859-1880, 2014Tradução . . Disponível em: https://doi.org/10.1080/02664763.2014.897689. Acesso em: 15 nov. 2024.
APA
Ortega, E. M. M., Cordeiro, G. M., Hashimoto, E. M., & Cooray, K. (2014). A log-linear regression model for the odd Weibull distribution with censored data. Journal of Applied Statistics, 41( 9), 1859-1880. doi:10.1080/02664763.2014.897689
NLM
Ortega EMM, Cordeiro GM, Hashimoto EM, Cooray K. A log-linear regression model for the odd Weibull distribution with censored data [Internet]. Journal of Applied Statistics. 2014 ; 41( 9): 1859-1880.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1080/02664763.2014.897689
Vancouver
Ortega EMM, Cordeiro GM, Hashimoto EM, Cooray K. A log-linear regression model for the odd Weibull distribution with censored data [Internet]. Journal of Applied Statistics. 2014 ; 41( 9): 1859-1880.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1080/02664763.2014.897689

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