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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
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 jun. 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 jun. 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 jun. 01 ] Available from: https://doi.org/10.1080/02664763.2024.2337086
Artigo de periodico
The odd extended log-logistic family: properties, regression, simulations and applications (2023)
Cordeiro, Gauss; Prataviera, Fábio ; Ortega, Edwin Moises Marcos ; Vila, Roberto; Nogueira, Erica Vieira
Source: Model Assisted Statistics and Applications. Unidade: ESALQ
Subjects: DADOS CENSURADOS, DISTRIBUIÇÃO LOGÍSTICA, MODELOS MATEMÁTICOS, SIMULAÇÃO (ESTATÍSTICA), VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CORDEIRO, Gauss et al. The odd extended log-logistic family: properties, regression, simulations and applications. Model Assisted Statistics and Applications, v. 18, n. 1, p. 57-71, 2023Tradução . . Disponível em: https://doi.org/10.3233/MAS-221364. Acesso em: 01 jun. 2024.
APA
Cordeiro, G., Prataviera, F., Ortega, E. M. M., Vila, R., & Nogueira, E. V. (2023). The odd extended log-logistic family: properties, regression, simulations and applications. Model Assisted Statistics and Applications, 18( 1), 57-71. doi:10.3233/MAS-221364
NLM
Cordeiro G, Prataviera F, Ortega EMM, Vila R, Nogueira EV. The odd extended log-logistic family: properties, regression, simulations and applications [Internet]. Model Assisted Statistics and Applications. 2023 ; 18( 1): 57-71.[citado 2024 jun. 01 ] Available from: https://doi.org/10.3233/MAS-221364
Vancouver
Cordeiro G, Prataviera F, Ortega EMM, Vila R, Nogueira EV. The odd extended log-logistic family: properties, regression, simulations and applications [Internet]. Model Assisted Statistics and Applications. 2023 ; 18( 1): 57-71.[citado 2024 jun. 01 ] Available from: https://doi.org/10.3233/MAS-221364
Artigo de periodico
A weibull-beta prime distribution to model COVID-19 data with the presence of covariates and censored data (2022)
Biazatti, Elisângela Candeias ; Cordeiro, Gauss M ; Rodrigues, Gabriela Maria ; Ortega, Edwin Moises Marcos ; Santana, Luís Henrique de
Source: Stats. Unidade: ESALQ
Subjects: COVID-19, DADOS CENSURADOS, DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, SIMULAÇÃO (ESTATÍSTICA), VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BIAZATTI, Elisângela Candeias et al. A weibull-beta prime distribution to model COVID-19 data with the presence of covariates and censored data. Stats, v. 5, p. 1159-1173, 2022Tradução . . Disponível em: https://doi.org/10.3390/stats5040069. Acesso em: 01 jun. 2024.
APA
Biazatti, E. C., Cordeiro, G. M., Rodrigues, G. M., Ortega, E. M. M., & Santana, L. H. de. (2022). A weibull-beta prime distribution to model COVID-19 data with the presence of covariates and censored data. Stats, 5, 1159-1173. doi:10.3390/stats5040069
NLM
Biazatti EC, Cordeiro GM, Rodrigues GM, Ortega EMM, Santana LH de. A weibull-beta prime distribution to model COVID-19 data with the presence of covariates and censored data [Internet]. Stats. 2022 ; 5 1159-1173.[citado 2024 jun. 01 ] Available from: https://doi.org/10.3390/stats5040069
Vancouver
Biazatti EC, Cordeiro GM, Rodrigues GM, Ortega EMM, Santana LH de. A weibull-beta prime distribution to model COVID-19 data with the presence of covariates and censored data [Internet]. Stats. 2022 ; 5 1159-1173.[citado 2024 jun. 01 ] Available from: https://doi.org/10.3390/stats5040069
Artigo de periodico
The destructive cure rate regression in cancer prognosis and prediction (2021)
Cancho, Vicente Garibay ; Cordeiro, Gauss M.; Barriga, Gladys; Ortega, Edwin Moises Marcos ; Kattan, Michael W
Source: Applied Mathematics and Information Sciences. Unidades: ICMC, ESALQ
Subjects: CARCINOMA, CURA, MASTECTOMIA, MODELOS MATEMÁTICOS, NEOPLASIAS MAMÁRIAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CANCHO, Vicente Garibay et al. The destructive cure rate regression in cancer prognosis and prediction. Applied Mathematics and Information Sciences, v. 15, n. 2, p. 199-206, 2021Tradução . . Disponível em: https://doi.org/10.18576/amis/150212. Acesso em: 01 jun. 2024.
APA
Cancho, V. G., Cordeiro, G. M., Barriga, G., Ortega, E. M. M., & Kattan, M. W. (2021). The destructive cure rate regression in cancer prognosis and prediction. Applied Mathematics and Information Sciences, 15( 2), 199-206. doi:10.18576/amis/150212
NLM
Cancho VG, Cordeiro GM, Barriga G, Ortega EMM, Kattan MW. The destructive cure rate regression in cancer prognosis and prediction [Internet]. Applied Mathematics and Information Sciences. 2021 ; 15( 2): 199-206.[citado 2024 jun. 01 ] Available from: https://doi.org/10.18576/amis/150212
Vancouver
Cancho VG, Cordeiro GM, Barriga G, Ortega EMM, Kattan MW. The destructive cure rate regression in cancer prognosis and prediction [Internet]. Applied Mathematics and Information Sciences. 2021 ; 15( 2): 199-206.[citado 2024 jun. 01 ] Available from: https://doi.org/10.18576/amis/150212
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 jun. 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 jun. 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 jun. 01 ] Available from: https://doi.org/10.1080/03610918.2021.1934021
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 jun. 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 jun. 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 jun. 01 ] Available from: https://doi.org/10.1080/02664763.2020.1801608
Artigo de periodico
Modelling non-proportional hazard for survival data with different systematic components (2020)
Prataviera, Fábio ; Loibel, Selene M. C; Grego, Kathleen F; Ortega, Edwin Moises Marcos ; Cordeiro, Gauss M
Source: Environmental and Ecological Statistics. Unidade: ESALQ
Subjects: ANÁLISE DE SOBREVIVÊNCIA, DADOS CENSURADOS, DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PRATAVIERA, Fábio et al. Modelling non-proportional hazard for survival data with different systematic components. Environmental and Ecological Statistics, v. 27, p. 467-489, 2020Tradução . . Disponível em: https://doi.org/10.1007/s10651-020-00453-5. Acesso em: 01 jun. 2024.
APA
Prataviera, F., Loibel, S. M. C., Grego, K. F., Ortega, E. M. M., & Cordeiro, G. M. (2020). Modelling non-proportional hazard for survival data with different systematic components. Environmental and Ecological Statistics, 27, 467-489. doi:10.1007/s10651-020-00453-5
NLM
Prataviera F, Loibel SMC, Grego KF, Ortega EMM, Cordeiro GM. Modelling non-proportional hazard for survival data with different systematic components [Internet]. Environmental and Ecological Statistics. 2020 ; 27 467-489.[citado 2024 jun. 01 ] Available from: https://doi.org/10.1007/s10651-020-00453-5
Vancouver
Prataviera F, Loibel SMC, Grego KF, Ortega EMM, Cordeiro GM. Modelling non-proportional hazard for survival data with different systematic components [Internet]. Environmental and Ecological Statistics. 2020 ; 27 467-489.[citado 2024 jun. 01 ] Available from: https://doi.org/10.1007/s10651-020-00453-5
Artigo de periodico
Surviving and non surviving fraction regression models based on the beta modified Weibull distribution (2020)
Silva, Giovana Oliveira; Cordeiro, Gauss M; Ortega, Edwin Moises Marcos
Source: Model Assisted Statistics and Applications. Unidade: ESALQ
Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, ANÁLISE DE SOBREVIVÊNCIA, DADOS CENSURADOS, DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Giovana Oliveira e CORDEIRO, Gauss M e ORTEGA, Edwin Moises Marcos. Surviving and non surviving fraction regression models based on the beta modified Weibull distribution. Model Assisted Statistics and Applications, v. 15, n. 2, p. 111-126, 2020Tradução . . Disponível em: https://doi.org/10.3233/MAS-200482. Acesso em: 01 jun. 2024.
APA
Silva, G. O., Cordeiro, G. M., & Ortega, E. M. M. (2020). Surviving and non surviving fraction regression models based on the beta modified Weibull distribution. Model Assisted Statistics and Applications, 15( 2), 111-126. doi:10.3233/MAS-200482
NLM
Silva GO, Cordeiro GM, Ortega EMM. Surviving and non surviving fraction regression models based on the beta modified Weibull distribution [Internet]. Model Assisted Statistics and Applications. 2020 ; 15( 2): 111-126.[citado 2024 jun. 01 ] Available from: https://doi.org/10.3233/MAS-200482
Vancouver
Silva GO, Cordeiro GM, Ortega EMM. Surviving and non surviving fraction regression models based on the beta modified Weibull distribution [Internet]. Model Assisted Statistics and Applications. 2020 ; 15( 2): 111-126.[citado 2024 jun. 01 ] Available from: https://doi.org/10.3233/MAS-200482
Artigo de periodico
The Marshall-Olkin extended flexible Weibull regression model for censored lifetime data (2019)
Cordeiro, Gauss M; Prataviera, Fábio ; Lima, Maria do Carmo S; Ortega, Edwin Moises Marcos
Source: Model Assisted Statistics and Applications. Unidade: ESALQ
Subjects: VEROSSIMILHANÇA, DADOS CENSURADOS, DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CORDEIRO, Gauss M et al. The Marshall-Olkin extended flexible Weibull regression model for censored lifetime data. Model Assisted Statistics and Applications, v. 14, n. 1, p. 1-17, 2019Tradução . . Disponível em: https://doi.org/10.3233/MAS-180455. Acesso em: 01 jun. 2024.
APA
Cordeiro, G. M., Prataviera, F., Lima, M. do C. S., & Ortega, E. M. M. (2019). The Marshall-Olkin extended flexible Weibull regression model for censored lifetime data. Model Assisted Statistics and Applications, 14( 1), 1-17. doi:10.3233/MAS-180455
NLM
Cordeiro GM, Prataviera F, Lima M do CS, Ortega EMM. The Marshall-Olkin extended flexible Weibull regression model for censored lifetime data [Internet]. Model Assisted Statistics and Applications. 2019 ; 14( 1): 1-17.[citado 2024 jun. 01 ] Available from: https://doi.org/10.3233/MAS-180455
Vancouver
Cordeiro GM, Prataviera F, Lima M do CS, Ortega EMM. The Marshall-Olkin extended flexible Weibull regression model for censored lifetime data [Internet]. Model Assisted Statistics and Applications. 2019 ; 14( 1): 1-17.[citado 2024 jun. 01 ] Available from: https://doi.org/10.3233/MAS-180455
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 jun. 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 jun. 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 jun. 01 ] Available from: https://doi.org/10.1080/02664763.2019.1572719
Artigo de periodico
The log-odd logistic-Weibull regression model under informative censoring (2019)
Ortega, Edwin Moises Marcos ; Cruz, José Nilton da; Cordeiro, Gauss M
Source: Model Assisted Statistics and Applications. Unidade: ESALQ
Subjects: ANÁLISE DE SOBREVIVÊNCIA, DADOS CENSURADOS, DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ORTEGA, Edwin Moises Marcos e CRUZ, José Nilton da e CORDEIRO, Gauss M. The log-odd logistic-Weibull regression model under informative censoring. Model Assisted Statistics and Applications, v. 14, n. 3, p. 239-254, 2019Tradução . . Disponível em: https://doi.org/10.3233/MAS-190464. Acesso em: 01 jun. 2024.
APA
Ortega, E. M. M., Cruz, J. N. da, & Cordeiro, G. M. (2019). The log-odd logistic-Weibull regression model under informative censoring. Model Assisted Statistics and Applications, 14( 3), 239-254. doi:10.3233/MAS-190464
NLM
Ortega EMM, Cruz JN da, Cordeiro GM. The log-odd logistic-Weibull regression model under informative censoring [Internet]. Model Assisted Statistics and Applications. 2019 ; 14( 3): 239-254.[citado 2024 jun. 01 ] Available from: https://doi.org/10.3233/MAS-190464
Vancouver
Ortega EMM, Cruz JN da, Cordeiro GM. The log-odd logistic-Weibull regression model under informative censoring [Internet]. Model Assisted Statistics and Applications. 2019 ; 14( 3): 239-254.[citado 2024 jun. 01 ] Available from: https://doi.org/10.3233/MAS-190464
Artigo de periodico
A new extended normal regression model: simulations and applications (2019)
Lima, Maria C. S; Cordeiro, Gauss M; Ortega, Edwin, Moises Marcos ; Nascimento, Abraão D. C
Source: Journal of Statistical Distributions and Applications. Unidade: ESALQ
Subjects: DISTRIBUIÇÃO NORMAL, MÉTODO DE MONTE CARLO, MODELOS MATEMÁTICOS, REGRESSÃO LINEAR, SIMULAÇÃO (ESTATÍSTICA), VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LIMA, Maria C. S et al. A new extended normal regression model: simulations and applications. Journal of Statistical Distributions and Applications, v. 6, p. 1-17, 2019Tradução . . Disponível em: https://doi.org/10.1186/s40488-019-0098-y. Acesso em: 01 jun. 2024.
APA
Lima, M. C. S., Cordeiro, G. M., Ortega, E., & Nascimento, A. D. C. (2019). A new extended normal regression model: simulations and applications. Journal of Statistical Distributions and Applications, 6, 1-17. doi:10.1186/s40488-019-0098-y
NLM
Lima MCS, Cordeiro GM, Ortega E, Nascimento ADC. A new extended normal regression model: simulations and applications [Internet]. Journal of Statistical Distributions and Applications. 2019 ; 6 1-17.[citado 2024 jun. 01 ] Available from: https://doi.org/10.1186/s40488-019-0098-y
Vancouver
Lima MCS, Cordeiro GM, Ortega E, Nascimento ADC. A new extended normal regression model: simulations and applications [Internet]. Journal of Statistical Distributions and Applications. 2019 ; 6 1-17.[citado 2024 jun. 01 ] Available from: https://doi.org/10.1186/s40488-019-0098-y
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 jun. 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 jun. 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 jun. 01 ] Available from: https://doi.org/10.1080/03610926.2017.1316403
Artigo de periodico
The heteroscedastic odd log-logistic generalized gamma regression model for censored data (2018)
Prataviera, Fábio; Ortega, Edwin Moises Marcos; Cordeiro, Gauss M; Braga, Altemir da Silva
Source: Communications in Statistics - Simulation and Computation. Unidade: ESALQ
Subjects: ANÁLISE DE SOBREVIVÊNCIA, DADOS CENSURADOS, DISTRIBUIÇÕES (PROBABILIDADE), HETEROSCEDASTICIDADE, MODELOS MATEMÁTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PRATAVIERA, Fábio et al. The heteroscedastic odd log-logistic generalized gamma regression model for censored data. Communications in Statistics - Simulation and Computation, p. 1-25, 2018Tradução . . Disponível em: https://doi.org/10.1080/03610918.2018.1423695. Acesso em: 01 jun. 2024.
APA
Prataviera, F., Ortega, E. M. M., Cordeiro, G. M., & Braga, A. da S. (2018). The heteroscedastic odd log-logistic generalized gamma regression model for censored data. Communications in Statistics - Simulation and Computation, 1-25. doi:10.1080/03610918.2018.1423695
NLM
Prataviera F, Ortega EMM, Cordeiro GM, Braga A da S. The heteroscedastic odd log-logistic generalized gamma regression model for censored data [Internet]. Communications in Statistics - Simulation and Computation. 2018 ; 1-25.[citado 2024 jun. 01 ] Available from: https://doi.org/10.1080/03610918.2018.1423695
Vancouver
Prataviera F, Ortega EMM, Cordeiro GM, Braga A da S. The heteroscedastic odd log-logistic generalized gamma regression model for censored data [Internet]. Communications in Statistics - Simulation and Computation. 2018 ; 1-25.[citado 2024 jun. 01 ] Available from: https://doi.org/10.1080/03610918.2018.1423695
Artigo de periodico
The power-Cauchy negative-binomial: properties and regression (2018)
Zubair, Muhammad; Tahir, Muhammad H; Cordeiro, Gauss M; Alzaatreh, Ayman; Ortega, Edwin Moises Marcos
Source: Journal of Statistical Distributions and Applications. Unidade: ESALQ
Subjects: MÉTODO DE CAUCHY, DISTRIBUIÇÃO BINOMIAL, DADOS CENSURADOS, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ZUBAIR, Muhammad et al. The power-Cauchy negative-binomial: properties and regression. Journal of Statistical Distributions and Applications, v. 5, n. 1, p. 1-17, 2018Tradução . . Disponível em: https://doi.org/10.1186/s40488-017-0082-3. Acesso em: 01 jun. 2024.
APA
Zubair, M., Tahir, M. H., Cordeiro, G. M., Alzaatreh, A., & Ortega, E. M. M. (2018). The power-Cauchy negative-binomial: properties and regression. Journal of Statistical Distributions and Applications, 5( 1), 1-17. doi:10.1186/s40488-017-0082-3
NLM
Zubair M, Tahir MH, Cordeiro GM, Alzaatreh A, Ortega EMM. The power-Cauchy negative-binomial: properties and regression [Internet]. Journal of Statistical Distributions and Applications. 2018 ; 5( 1): 1-17.[citado 2024 jun. 01 ] Available from: https://doi.org/10.1186/s40488-017-0082-3
Vancouver
Zubair M, Tahir MH, Cordeiro GM, Alzaatreh A, Ortega EMM. The power-Cauchy negative-binomial: properties and regression [Internet]. Journal of Statistical Distributions and Applications. 2018 ; 5( 1): 1-17.[citado 2024 jun. 01 ] Available from: https://doi.org/10.1186/s40488-017-0082-3
Artigo de periodico
An alternative two-parameter gamma generated family of distributions: properties and applications (2018)
Cordeiro, Gauss M; Nadarajah, Saralees; Ortega, Edwin M. M.; Ramires, Thiago G
Source: Hacettepe Journal of Mathematics & Statistics. Unidade: ESALQ
Subjects: 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. An alternative two-parameter gamma generated family of distributions: properties and applications. Hacettepe Journal of Mathematics & Statistics, v. 47, n. 1, p. 145-173, 2018Tradução . . Disponível em: https://doi.org/10.15672/hjms.2017.502. Acesso em: 01 jun. 2024.
APA
Cordeiro, G. M., Nadarajah, S., Ortega, E. M. M., & Ramires, T. G. (2018). An alternative two-parameter gamma generated family of distributions: properties and applications. Hacettepe Journal of Mathematics & Statistics, 47( 1), 145-173. doi:10.15672/hjms.2017.502
NLM
Cordeiro GM, Nadarajah S, Ortega EMM, Ramires TG. An alternative two-parameter gamma generated family of distributions: properties and applications [Internet]. Hacettepe Journal of Mathematics & Statistics. 2018 ; 47( 1): 145-173.[citado 2024 jun. 01 ] Available from: https://doi.org/10.15672/hjms.2017.502
Vancouver
Cordeiro GM, Nadarajah S, Ortega EMM, Ramires TG. An alternative two-parameter gamma generated family of distributions: properties and applications [Internet]. Hacettepe Journal of Mathematics & Statistics. 2018 ; 47( 1): 145-173.[citado 2024 jun. 01 ] Available from: https://doi.org/10.15672/hjms.2017.502
Artigo de periodico
The odd log-logistic logarithmic generated family of distributions with applications in different areas (2017)
Alizadeh, Morad; MirMostafee, S. M. T. K; Ortega, Edwin Moises Marcos ; Ramires, Thiago Gentil ; Cordeiro, Gauss M
Source: Journal of Statistical Distributions and Applications. 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. The odd log-logistic logarithmic generated family of distributions with applications in different areas. Journal of Statistical Distributions and Applications, v. 4 n. 6, p. 1-24, 2017Tradução . . Disponível em: https://doi.org/10.1186/s40488-017-0062-7. Acesso em: 01 jun. 2024.
APA
Alizadeh, M., MirMostafee, S. M. T. K., Ortega, E. M. M., Ramires, T. G., & Cordeiro, G. M. (2017). The odd log-logistic logarithmic generated family of distributions with applications in different areas. Journal of Statistical Distributions and Applications, 4 n. 6, 1-24. doi:10.1186/s40488-017-0062-7
NLM
Alizadeh M, MirMostafee SMTK, Ortega EMM, Ramires TG, Cordeiro GM. The odd log-logistic logarithmic generated family of distributions with applications in different areas [Internet]. Journal of Statistical Distributions and Applications. 2017 ; 4 n. 6 1-24.[citado 2024 jun. 01 ] Available from: https://doi.org/10.1186/s40488-017-0062-7
Vancouver
Alizadeh M, MirMostafee SMTK, Ortega EMM, Ramires TG, Cordeiro GM. The odd log-logistic logarithmic generated family of distributions with applications in different areas [Internet]. Journal of Statistical Distributions and Applications. 2017 ; 4 n. 6 1-24.[citado 2024 jun. 01 ] Available from: https://doi.org/10.1186/s40488-017-0062-7
Artigo de periodico
The odd log-logistic student t distribution: theory and applications (2017)
Braga, Altemir da Silva; Cordeiro, Gauss M; Ortega, Edwin Moiséis Marcos ; Silva, Giovana O
Source: Journal of Agricultural, Biological and Environmental Statistics. Unidade: ESALQ
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BRAGA, Altemir da Silva et al. The odd log-logistic student t distribution: theory and applications. Journal of Agricultural, Biological and Environmental Statistics, v. 22, n. 4 , p. 615-639 2017, 2017Tradução . . Disponível em: https://doi.org/10.1007/s13253-017-0301-x. Acesso em: 01 jun. 2024.
APA
Braga, A. da S., Cordeiro, G. M., Ortega, E. M. M., & Silva, G. O. (2017). The odd log-logistic student t distribution: theory and applications. Journal of Agricultural, Biological and Environmental Statistics, 22( 4 ), 615-639 2017. doi:10.1007/s13253-017-0301-x
NLM
Braga A da S, Cordeiro GM, Ortega EMM, Silva GO. The odd log-logistic student t distribution: theory and applications [Internet]. Journal of Agricultural, Biological and Environmental Statistics. 2017 ; 22( 4 ): 615-639 2017.[citado 2024 jun. 01 ] Available from: https://doi.org/10.1007/s13253-017-0301-x
Vancouver
Braga A da S, Cordeiro GM, Ortega EMM, Silva GO. The odd log-logistic student t distribution: theory and applications [Internet]. Journal of Agricultural, Biological and Environmental Statistics. 2017 ; 22( 4 ): 615-639 2017.[citado 2024 jun. 01 ] Available from: https://doi.org/10.1007/s13253-017-0301-x
Artigo de periodico
The Log-gamma-logistic regression model: estimation, sensibility and residual analysis (2017)
Hashimoto, Elizabeth M; Edwin Moises Marcos Ortega ; Cordeiro, Gauss M; Hamedani, G. G
Source: Journal of Statistical Theory and Applications. Unidade: ESALQ
Subjects: DADOS CENSURADOS, DISTRIBUIÇÃO LOGÍSTICA, MODELOS MATEMÁTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HASHIMOTO, Elizabeth M et al. The Log-gamma-logistic regression model: estimation, sensibility and residual analysis. Journal of Statistical Theory and Applications, v. 16, n. 4, p. 547-564, 2017Tradução . . Disponível em: https://www.atlantis-press.com/journals/jsta/25887941. Acesso em: 01 jun. 2024.
APA
Hashimoto, E. M., Edwin Moises Marcos Ortega,, Cordeiro, G. M., & Hamedani, G. G. (2017). The Log-gamma-logistic regression model: estimation, sensibility and residual analysis. Journal of Statistical Theory and Applications, 16( 4), 547-564. Recuperado de https://www.atlantis-press.com/journals/jsta/25887941
NLM
Hashimoto EM, Edwin Moises Marcos Ortega, Cordeiro GM, Hamedani GG. The Log-gamma-logistic regression model: estimation, sensibility and residual analysis [Internet]. Journal of Statistical Theory and Applications. 2017 ; 16( 4): 547-564.[citado 2024 jun. 01 ] Available from: https://www.atlantis-press.com/journals/jsta/25887941
Vancouver
Hashimoto EM, Edwin Moises Marcos Ortega, Cordeiro GM, Hamedani GG. The Log-gamma-logistic regression model: estimation, sensibility and residual analysis [Internet]. Journal of Statistical Theory and Applications. 2017 ; 16( 4): 547-564.[citado 2024 jun. 01 ] Available from: https://www.atlantis-press.com/journals/jsta/25887941
Artigo de periodico
The transmuted generalized modified Weibull distribution (2017)
Cordeiro, Gauss Moutinho ; Saboor, Abdus; Khan, Muhammad; Provost, Serge; Ortega, Edwin Moises Marcos
Source: Filomat. Unidade: ESALQ
Subjects: ESTATÍSTICA APLICADA, DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CORDEIRO, Gauss Moutinho et al. The transmuted generalized modified Weibull distribution. Filomat, n. , p. 1395-1412-, 2017Tradução . . Disponível em: https://doi.org/10.2298/FIL1705395C. Acesso em: 01 jun. 2024.
APA
Cordeiro, G. M., Saboor, A., Khan, M., Provost, S., & Ortega, E. M. M. (2017). The transmuted generalized modified Weibull distribution. Filomat, ( ), 1395-1412-. doi:10.2298/FIL1705395C
NLM
Cordeiro GM, Saboor A, Khan M, Provost S, Ortega EMM. The transmuted generalized modified Weibull distribution [Internet]. Filomat. 2017 ;( ): 1395-1412-.[citado 2024 jun. 01 ] Available from: https://doi.org/10.2298/FIL1705395C
Vancouver
Cordeiro GM, Saboor A, Khan M, Provost S, Ortega EMM. The transmuted generalized modified Weibull distribution [Internet]. Filomat. 2017 ;( ): 1395-1412-.[citado 2024 jun. 01 ] Available from: https://doi.org/10.2298/FIL1705395C

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