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Artigo de periodico
Bayesian analysis of Birnbaum-Saunders survival model with cure fraction under a variety of activation mechanism (2020)
Barriga, Gladys Dorotea Cacsire ; Dey, Dipak Kumar ; Cancho, Vicente Garibay ; Suzuki, Adriano Kamimura
Source: Model Assisted Statistics and Applications. Unidade: ICMC
Subjects: ANÁLISE DE SOBREVIVÊNCIA, DISTRIBUIÇÕES (PROBABILIDADE), MÉTODOS MCMC, INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARRIGA, Gladys Dorotea Cacsire; DEY, Dipak Kumar; CANCHO, Vicente Garibay; SUZUKI, Adriano Kamimura. Bayesian analysis of Birnbaum-Saunders survival model with cure fraction under a variety of activation mechanism. Model Assisted Statistics and Applications, Amsterdam, IOS Press, n. 1, p. 35-51, 2020. Disponível em: < https://doi.org/10.3233/MAS-190477 > DOI: 10.3233/MAS-190477.
APA
Barriga, G. D. C., Dey, D. K., Cancho, V. G., & Suzuki, A. K. (2020). Bayesian analysis of Birnbaum-Saunders survival model with cure fraction under a variety of activation mechanism. Model Assisted Statistics and Applications, ( 1), 35-51. doi:10.3233/MAS-190477
NLM
Barriga GDC, Dey DK, Cancho VG, Suzuki AK. Bayesian analysis of Birnbaum-Saunders survival model with cure fraction under a variety of activation mechanism [Internet]. Model Assisted Statistics and Applications. 2020 ;( 1): 35-51.Available from: https://doi.org/10.3233/MAS-190477
Vancouver
Barriga GDC, Dey DK, Cancho VG, Suzuki AK. Bayesian analysis of Birnbaum-Saunders survival model with cure fraction under a variety of activation mechanism [Internet]. Model Assisted Statistics and Applications. 2020 ;( 1): 35-51.Available from: https://doi.org/10.3233/MAS-190477
Artigo de periodico
A new long-term survival model with dispersion induced by discrete frailty (2020)
Cancho, Vicente Garibay ; Macera, Márcia Aparecida Centanin ; Suzuki, Adriano Kamimura ; Louzada Neto, Francisco ; Zavaleta, Katherine Elizabeth Coaguila
Source: Lifetime Data Analysis. Unidade: ICMC
Subjects: ANÁLISE DE SOBREVIVÊNCIA, VEROSSIMILHANÇA, SIMULAÇÃO (ESTATÍSTICA), MELANOMA
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ABNT
CANCHO, Vicente Garibay; MACERA, Márcia Aparecida Centanin; SUZUKI, Adriano Kamimura; LOUZADA NETO, Francisco; ZAVALETA, Katherine Elizabeth Coaguila. A new long-term survival model with dispersion induced by discrete frailty. Lifetime Data Analysis, New York, Springer, v. 26, n. 2, p. 221-244, 2020. Disponível em: < https://doi.org/10.1007/s10985-019-09472-2 > DOI: 10.1007/s10985-019-09472-2.
APA
Cancho, V. G., Macera, M. A. C., Suzuki, A. K., Louzada Neto, F., & Zavaleta, K. E. C. (2020). A new long-term survival model with dispersion induced by discrete frailty. Lifetime Data Analysis, 26( 2), 221-244. doi:10.1007/s10985-019-09472-2
NLM
Cancho VG, Macera MAC, Suzuki AK, Louzada Neto F, Zavaleta KEC. A new long-term survival model with dispersion induced by discrete frailty [Internet]. Lifetime Data Analysis. 2020 ; 26( 2): 221-244.Available from: https://doi.org/10.1007/s10985-019-09472-2
Vancouver
Cancho VG, Macera MAC, Suzuki AK, Louzada Neto F, Zavaleta KEC. A new long-term survival model with dispersion induced by discrete frailty [Internet]. Lifetime Data Analysis. 2020 ; 26( 2): 221-244.Available from: https://doi.org/10.1007/s10985-019-09472-2
Artigo de periodico
A new class of regression model for a bounded response with application in the study of the incidence rate of colorectal cancer (2020)
Cancho, Vicente Garibay ; Guzmán, Jorge Luis Bazán ; Dey, Dipak Kumar
Unidade: ICMC
Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, ALGORITMOS ÚTEIS E ESPECÍFICOS, CARACTERÍSTICAS DA POPULAÇÃO, NEOPLASIAS COLORRETAIS, INFERÊNCIA BAYESIANA
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ABNT
CANCHO, Vicente Garibay; GUZMÁN, Jorge Luis Bazán; DEY, Dipak Kumar. A new class of regression model for a bounded response with application in the study of the incidence rate of colorectal cancer. , London, SAGE, v. 29, n. 7, p. 2015-2033, 2020. Disponível em: < http://dx.doi.org/10.1177/0962280219881470 > DOI: 10.1177/0962280219881470.
APA
Cancho, V. G., Guzmán, J. L. B., & Dey, D. K. (2020). A new class of regression model for a bounded response with application in the study of the incidence rate of colorectal cancer, 29( 7), 2015-2033. doi:10.1177/0962280219881470
NLM
Cancho VG, Guzmán JLB, Dey DK. A new class of regression model for a bounded response with application in the study of the incidence rate of colorectal cancer [Internet]. 2020 ; 29( 7): 2015-2033.Available from: http://dx.doi.org/10.1177/0962280219881470
Vancouver
Cancho VG, Guzmán JLB, Dey DK. A new class of regression model for a bounded response with application in the study of the incidence rate of colorectal cancer [Internet]. 2020 ; 29( 7): 2015-2033.Available from: http://dx.doi.org/10.1177/0962280219881470
Artigo de periodico
The exponentiated Poisson-Exponential distribution: a distribution with increasing, decreasing and bathtub failure rate (2020)
Louzada Neto, Francisco ; Cancho, Vicente Garibay ; Ferreira, Paulo Henrique
Source: Journal of Statistical Theory and Applications. Unidade: ICMC
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA, ANÁLISE DE SOBREVIVÊNCIA, SIMULAÇÃO (ESTATÍSTICA)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOUZADA NETO, Francisco; CANCHO, Vicente Garibay; FERREIRA, Paulo Henrique. The exponentiated Poisson-Exponential distribution: a distribution with increasing, decreasing and bathtub failure rate. Journal of Statistical Theory and Applications, Paris, Atlantis Press, v. 19, n. 2, p. 274-285, 2020. Disponível em: < https://doi.org/10.2991/jsta.d.200512.002 > DOI: 10.2991/jsta.d.200512.002.
APA
Louzada Neto, F., Cancho, V. G., & Ferreira, P. H. (2020). The exponentiated Poisson-Exponential distribution: a distribution with increasing, decreasing and bathtub failure rate. Journal of Statistical Theory and Applications, 19( 2), 274-285. doi:10.2991/jsta.d.200512.002
NLM
Louzada Neto F, Cancho VG, Ferreira PH. The exponentiated Poisson-Exponential distribution: a distribution with increasing, decreasing and bathtub failure rate [Internet]. Journal of Statistical Theory and Applications. 2020 ; 19( 2): 274-285.Available from: https://doi.org/10.2991/jsta.d.200512.002
Vancouver
Louzada Neto F, Cancho VG, Ferreira PH. The exponentiated Poisson-Exponential distribution: a distribution with increasing, decreasing and bathtub failure rate [Internet]. Journal of Statistical Theory and Applications. 2020 ; 19( 2): 274-285.Available from: https://doi.org/10.2991/jsta.d.200512.002
Artigo de periodico
A multivariate survival model induced by discrete frailty (2020)
Cancho, Vicente Garibay ; Suzuki, Adriano Kamimura ; Barriga, Gladys Dorotea Cacsire ; Santo, Ana Paula Jorge do Espírito
Source: Communications in Statistics - Simulation and Computation. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: ANÁLISE DE SOBREVIVÊNCIA, DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CANCHO, Vicente Garibay; SUZUKI, Adriano Kamimura; BARRIGA, Gladys Dorotea Cacsire; SANTO, Ana Paula Jorge do Espírito. A multivariate survival model induced by discrete frailty. Communications in Statistics - Simulation and Computation, New York, Taylor & Francis, 2020. Disponível em: < https://doi.org/10.1080/03610918.2020.1806323 > DOI: 10.1080/03610918.2020.1806323.
APA
Cancho, V. G., Suzuki, A. K., Barriga, G. D. C., & Santo, A. P. J. do E. (2020). A multivariate survival model induced by discrete frailty. Communications in Statistics - Simulation and Computation. doi:10.1080/03610918.2020.1806323
NLM
Cancho VG, Suzuki AK, Barriga GDC, Santo APJ do E. A multivariate survival model induced by discrete frailty [Internet]. Communications in Statistics - Simulation and Computation. 2020 ;Available from: https://doi.org/10.1080/03610918.2020.1806323
Vancouver
Cancho VG, Suzuki AK, Barriga GDC, Santo APJ do E. A multivariate survival model induced by discrete frailty [Internet]. Communications in Statistics - Simulation and Computation. 2020 ;Available from: https://doi.org/10.1080/03610918.2020.1806323
Artigo de periodico
Power series cure rate model for spatially correlated interval-censored data based on generalized extreme value distribution (2020)
Yiqi, Bao; Cancho, Vicente Garibay ; Dey, Dipak Kumar ; Balakrishnan, Narayanaswamy ; Suzuki, Adriano Kamimura
Source: Journal of Computational and Applied Mathematics. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, MÉTODO DE MONTE CARLO, CADEIAS DE MARKOV, ANÁLISE DE SOBREVIVÊNCIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
YIQI, Bao; CANCHO, Vicente Garibay; DEY, Dipak Kumar; BALAKRISHNAN, Narayanaswamy; SUZUKI, Adriano Kamimura. Power series cure rate model for spatially correlated interval-censored data based on generalized extreme value distribution. Journal of Computational and Applied Mathematics, Amsterdam, Elsevier, v. 364, p. 1-15, 2020. Disponível em: < http://dx.doi.org/10.1016/j.cam.2019.112362 > DOI: 10.1016/j.cam.2019.112362.
APA
Yiqi, B., Cancho, V. G., Dey, D. K., Balakrishnan, N., & Suzuki, A. K. (2020). Power series cure rate model for spatially correlated interval-censored data based on generalized extreme value distribution. Journal of Computational and Applied Mathematics, 364, 1-15. doi:10.1016/j.cam.2019.112362
NLM
Yiqi B, Cancho VG, Dey DK, Balakrishnan N, Suzuki AK. Power series cure rate model for spatially correlated interval-censored data based on generalized extreme value distribution [Internet]. Journal of Computational and Applied Mathematics. 2020 ; 364 1-15.Available from: http://dx.doi.org/10.1016/j.cam.2019.112362
Vancouver
Yiqi B, Cancho VG, Dey DK, Balakrishnan N, Suzuki AK. Power series cure rate model for spatially correlated interval-censored data based on generalized extreme value distribution [Internet]. Journal of Computational and Applied Mathematics. 2020 ; 364 1-15.Available from: http://dx.doi.org/10.1016/j.cam.2019.112362
Artigo de periodico
The exponentiated power exponential semiparametric regression model (2020)
Prataviera, Fabio ; Ortega, Edwin Moises Marcos ; Cordeiro, G. M; Cancho, Vicente Garibay
Source: Communications in statistics: Simulation and computation. Unidades: ESALQ, ICMC
Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, INFERÊNCIA SEMIPARAMÉTRICA, MÉTODO DE MONTE CARLO, MODELOS MATEMÁTICOS, VEROSSIMILHANÇA
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ABNT
PRATAVIERA, Fabio; ORTEGA, Edwin Moises Marcos; CORDEIRO, G. M; CANCHO, Vicente Garibay. The exponentiated power exponential semiparametric regression model. Communications in statistics: Simulation and computation, Abingdon, Taylor and Francis Inc, p. 1-21, 2020. Disponível em: < https://doi.org/10.1080/03610918.2020.1788585 > DOI: 10.1080/03610918.2020.1788585.
APA
Prataviera, F., Ortega, E. M. M., Cordeiro, G. M., & Cancho, V. G. (2020). The exponentiated power exponential semiparametric regression model. Communications in statistics: Simulation and computation, 1-21. doi:10.1080/03610918.2020.1788585
NLM
Prataviera F, Ortega EMM, Cordeiro GM, Cancho VG. The exponentiated power exponential semiparametric regression model [Internet]. Communications in statistics: Simulation and computation. 2020 ; 1-21.Available from: https://doi.org/10.1080/03610918.2020.1788585
Vancouver
Prataviera F, Ortega EMM, Cordeiro GM, Cancho VG. The exponentiated power exponential semiparametric regression model [Internet]. Communications in statistics: Simulation and computation. 2020 ; 1-21.Available from: https://doi.org/10.1080/03610918.2020.1788585
Artigo de periodico
A new destructive Poisson odd log-logistic generalized half-normal cure rate model (2019)
Pescim, Rodrigo R.; Ortega, Edwin Moises Marcos; Suzuki, Adriano Kamimura; Cancho, Vicente Garibay; Cordeiro, Gauss M.
Source: Communications in Statistics - Theory and Methods. Unidades: ESALQ, ICMC
Subjects: CURA, SIMULAÇÃO, DISTRIBUIÇÃO LOGÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PESCIM, Rodrigo R.; ORTEGA, Edwin Moises Marcos; SUZUKI, Adriano Kamimura; CANCHO, Vicente Garibay; CORDEIRO, Gauss M. A new destructive Poisson odd log-logistic generalized half-normal cure rate model. Communications in Statistics - Theory and Methods, Philadelphia, Taylor and Francis, v. 48, n. 9, p. 2113-2128, 2019. Disponível em: < http://dx.doi.org/10.1080/03610926.2018.1459709 > DOI: 10.1080/03610926.2018.1459709.
APA
Pescim, R. R., Ortega, E. M. M., Suzuki, A. K., Cancho, V. G., & Cordeiro, G. M. (2019). A new destructive Poisson odd log-logistic generalized half-normal cure rate model. Communications in Statistics - Theory and Methods, 48( 9), 2113-2128. doi:10.1080/03610926.2018.1459709
NLM
Pescim RR, Ortega EMM, Suzuki AK, Cancho VG, Cordeiro GM. A new destructive Poisson odd log-logistic generalized half-normal cure rate model [Internet]. Communications in Statistics - Theory and Methods. 2019 ; 48( 9): 2113-2128.Available from: http://dx.doi.org/10.1080/03610926.2018.1459709
Vancouver
Pescim RR, Ortega EMM, Suzuki AK, Cancho VG, Cordeiro GM. A new destructive Poisson odd log-logistic generalized half-normal cure rate model [Internet]. Communications in Statistics - Theory and Methods. 2019 ; 48( 9): 2113-2128.Available from: http://dx.doi.org/10.1080/03610926.2018.1459709
Trabalho de evento-resumo
A new survival model for lifetime with long-term survivors and unobserved heterogeneity (2019)
Santo, Ana Paula Jorge do Espírito; Cancho, Vicente Garibay
Source: Abstracts. Conference titles: Workshop on Probabilistic and Statistical Methods - WPSM. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: ANÁLISE DE SOBREVIVÊNCIA, VEROSSIMILHANÇA, HETEROGENEIDADE
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ABNT
SANTO, Ana Paula Jorge do Espírito; CANCHO, Vicente Garibay. A new survival model for lifetime with long-term survivors and unobserved heterogeneity. Anais.. São Carlos: ICMC/USP - DEs/UFSCar, 2019.Disponível em: .
APA
Santo, A. P. J. do E., & Cancho, V. G. (2019). A new survival model for lifetime with long-term survivors and unobserved heterogeneity. In Abstracts. São Carlos: ICMC/USP - DEs/UFSCar. Recuperado de http://wpsm.icmc.usp.br/7WPSM/2019_pipges_workshop_programa.pdf
NLM
Santo APJ do E, Cancho VG. A new survival model for lifetime with long-term survivors and unobserved heterogeneity [Internet]. Abstracts. 2019 ;Available from: http://wpsm.icmc.usp.br/7WPSM/2019_pipges_workshop_programa.pdf
Vancouver
Santo APJ do E, Cancho VG. A new survival model for lifetime with long-term survivors and unobserved heterogeneity [Internet]. Abstracts. 2019 ;Available from: http://wpsm.icmc.usp.br/7WPSM/2019_pipges_workshop_programa.pdf
Artigo de periodico
Performance of asymmetric links and correction methods for imbalanced data in binary regression (2019)
Huayanay, Alex de la Cruz; Bazán Guzmán, Jorge Luis; Cancho, Vicente Garibay; Dey, Dipak K.
Source: Journal of Statistical Computation and Simulation. Unidade: ICMC
Subjects: ANÁLISE DE DADOS, REGRESSÃO LOGÍSTICA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), MODELOS LINEARES GENERALIZADOS
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ABNT
HUAYANAY, Alex de la Cruz; BAZÁN GUZMÁN, Jorge Luis; CANCHO, Vicente Garibay; DEY, Dipak K. Performance of asymmetric links and correction methods for imbalanced data in binary regression. Journal of Statistical Computation and Simulation, London, Taylor and Francis, v. 89, n. 9, p. 1694-1714, 2019. Disponível em: < https://doi.org/10.1080/00949655.2019.1593984 > DOI: 10.1080/00949655.2019.1593984.
APA
Huayanay, A. de la C., Bazán Guzmán, J. L., Cancho, V. G., & Dey, D. K. (2019). Performance of asymmetric links and correction methods for imbalanced data in binary regression. Journal of Statistical Computation and Simulation, 89( 9), 1694-1714. doi:10.1080/00949655.2019.1593984
NLM
Huayanay A de la C, Bazán Guzmán JL, Cancho VG, Dey DK. Performance of asymmetric links and correction methods for imbalanced data in binary regression [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 9): 1694-1714.Available from: https://doi.org/10.1080/00949655.2019.1593984
Vancouver
Huayanay A de la C, Bazán Guzmán JL, Cancho VG, Dey DK. Performance of asymmetric links and correction methods for imbalanced data in binary regression [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 9): 1694-1714.Available from: https://doi.org/10.1080/00949655.2019.1593984
Tese
Essays on bivariate option pricing via copula and heteroscedasticity models: a classical and bayesian approach (2019)
Lopes, Lucas Pereira; Cancho, Vicente Garibay (Orientador)
Unidade: INTER: ICMC -UFSCAR
Subjects: POLÍTICA DE PREÇO, INFERÊNCIA BAYESIANA, MÉTODO DE MONTE CARLO, CADEIAS DE MARKOV
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOPES, Lucas Pereira; CANCHO, Vicente Garibay. Essays on bivariate option pricing via copula and heteroscedasticity models: a classical and bayesian approach. 2019.Universidade de São Paulo, São Carlos, 2019. Disponível em: < http://www.teses.usp.br/teses/disponiveis/104/104131/tde-06082019-155540/ >.
APA
Lopes, L. P., & Cancho, V. G. (2019). Essays on bivariate option pricing via copula and heteroscedasticity models: a classical and bayesian approach. Universidade de São Paulo, São Carlos. Recuperado de http://www.teses.usp.br/teses/disponiveis/104/104131/tde-06082019-155540/
NLM
Lopes LP, Cancho VG. Essays on bivariate option pricing via copula and heteroscedasticity models: a classical and bayesian approach [Internet]. 2019 ;Available from: http://www.teses.usp.br/teses/disponiveis/104/104131/tde-06082019-155540/
Vancouver
Lopes LP, Cancho VG. Essays on bivariate option pricing via copula and heteroscedasticity models: a classical and bayesian approach [Internet]. 2019 ;Available from: http://www.teses.usp.br/teses/disponiveis/104/104131/tde-06082019-155540/
Artigo de periodico
Option pricing with bivariate risk-neutral density via copula and heteroscedastic model: a bayesian approach (2019)
Lopes, Lucas Pereira ; Cancho, Vicente Garibay ; Louzada Neto, Francisco
Source: Brazilian Journal of Probability and Statistics. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: MÉTODOS MCMC, INFERÊNCIA BAYESIANA, SIMULAÇÃO (ESTATÍSTICA)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOPES, Lucas Pereira; CANCHO, Vicente Garibay; LOUZADA NETO, Francisco. Option pricing with bivariate risk-neutral density via copula and heteroscedastic model: a bayesian approach. Brazilian Journal of Probability and Statistics, São Paulo, ABE, v. 33, n. 4, p. 801-825, 2019. Disponível em: < http://dx.doi.org/10.1214/19-BJPS445 > DOI: 10.1214/19-BJPS445.
APA
Lopes, L. P., Cancho, V. G., & Louzada Neto, F. (2019). Option pricing with bivariate risk-neutral density via copula and heteroscedastic model: a bayesian approach. Brazilian Journal of Probability and Statistics, 33( 4), 801-825. doi:10.1214/19-BJPS445
NLM
Lopes LP, Cancho VG, Louzada Neto F. Option pricing with bivariate risk-neutral density via copula and heteroscedastic model: a bayesian approach [Internet]. Brazilian Journal of Probability and Statistics. 2019 ; 33( 4): 801-825.Available from: http://dx.doi.org/10.1214/19-BJPS445
Vancouver
Lopes LP, Cancho VG, Louzada Neto F. Option pricing with bivariate risk-neutral density via copula and heteroscedastic model: a bayesian approach [Internet]. Brazilian Journal of Probability and Statistics. 2019 ; 33( 4): 801-825.Available from: http://dx.doi.org/10.1214/19-BJPS445
Artigo de periodico
A new survival model with surviving fraction: an application to colorectal cancer data (2019)
Barriga, Gladys Dorotea Cacsire ; Cancho, Vicente Garibay ; Garibay, Daniel V; Cordeiro, Gauss M; Ortega, Edwin Moisés Marcos
Source: Statistical Methods in Medical Research. Unidades: ICMC, ESALQ
Subjects: ALGORITMOS, ANÁLISE DE SOBREVIVÊNCIA, MODELOS MATEMÁTICOS, NEOPLASIAS COLORRETAIS, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARRIGA, Gladys Dorotea Cacsire; CANCHO, Vicente Garibay; GARIBAY, Daniel V; CORDEIRO, Gauss M; ORTEGA, Edwin Moisés Marcos. A new survival model with surviving fraction: an application to colorectal cancer data. Statistical Methods in Medical Research, Thousand Oaks, SAGE Publications, v. 28, n. 9, p. 2665-2680, 2019. Disponível em: < http://dx.doi.org/10.1177/0962280218786053 > DOI: 10.1177/0962280218786053.
APA
Barriga, G. D. C., Cancho, V. G., Garibay, D. V., Cordeiro, G. M., & Ortega, E. M. M. (2019). A new survival model with surviving fraction: an application to colorectal cancer data. Statistical Methods in Medical Research, 28( 9), 2665-2680. doi:10.1177/0962280218786053
NLM
Barriga GDC, Cancho VG, Garibay DV, Cordeiro GM, Ortega EMM. A new survival model with surviving fraction: an application to colorectal cancer data [Internet]. Statistical Methods in Medical Research. 2019 ; 28( 9): 2665-2680.Available from: http://dx.doi.org/10.1177/0962280218786053
Vancouver
Barriga GDC, Cancho VG, Garibay DV, Cordeiro GM, Ortega EMM. A new survival model with surviving fraction: an application to colorectal cancer data [Internet]. Statistical Methods in Medical Research. 2019 ; 28( 9): 2665-2680.Available from: http://dx.doi.org/10.1177/0962280218786053
Artigo de periodico
Likelihood-based tests in zero-inflated power series models (2019)
Zavaleta, Katherine Elizabeth Coaguila; Cancho, Vicente Garibay; Lemonte, Artur José
Source: Journal of Statistical Computation and Simulation. Unidade: ICMC
Subjects: INFERÊNCIA PARAMÉTRICA, INFERÊNCIA BAYESIANA, MÉTODO DE MONTE CARLO, VEROSSIMILHANÇA, TESTES DE HIPÓTESES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ZAVALETA, Katherine Elizabeth Coaguila; CANCHO, Vicente Garibay; LEMONTE, Artur José. Likelihood-based tests in zero-inflated power series models. Journal of Statistical Computation and Simulation, Abingdon, Taylor & Francis, v. 89, n. 3, p. 443-460, 2019. Disponível em: < http://dx.doi.org/10.1080/00949655.2018.1554660 > DOI: 10.1080/00949655.2018.1554660.
APA
Zavaleta, K. E. C., Cancho, V. G., & Lemonte, A. J. (2019). Likelihood-based tests in zero-inflated power series models. Journal of Statistical Computation and Simulation, 89( 3), 443-460. doi:10.1080/00949655.2018.1554660
NLM
Zavaleta KEC, Cancho VG, Lemonte AJ. Likelihood-based tests in zero-inflated power series models [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 3): 443-460.Available from: http://dx.doi.org/10.1080/00949655.2018.1554660
Vancouver
Zavaleta KEC, Cancho VG, Lemonte AJ. Likelihood-based tests in zero-inflated power series models [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 3): 443-460.Available from: http://dx.doi.org/10.1080/00949655.2018.1554660
Artigo de periodico
Survival model induced by discrete frailty for modeling of lifetime data with long-term survivors and change-point (2019)
Cancho, Vicente Garibay ; Barriga, Gladys Dorotea Cacsire ; Leão, Jeremias ; Saulo, Helton
Source: Journal Communications in Statistics - Theory and Methods. Unidade: ICMC
Subjects: VEROSSIMILHANÇA, ANÁLISE DE SOBREVIVÊNCIA, AVALIAÇÃO DE DESEMPENHO, RIM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CANCHO, Vicente Garibay; BARRIGA, Gladys Dorotea Cacsire; LEÃO, Jeremias; SAULO, Helton. Survival model induced by discrete frailty for modeling of lifetime data with long-term survivors and change-point. Journal Communications in Statistics - Theory and Methods, New York, Taylor & Francis, 2019. Disponível em: < http://dx.doi.org/10.1080/03610926.2019.1648826 > DOI: 10.1080/03610926.2019.1648826.
APA
Cancho, V. G., Barriga, G. D. C., Leão, J., & Saulo, H. (2019). Survival model induced by discrete frailty for modeling of lifetime data with long-term survivors and change-point. Journal Communications in Statistics - Theory and Methods. doi:10.1080/03610926.2019.1648826
NLM
Cancho VG, Barriga GDC, Leão J, Saulo H. Survival model induced by discrete frailty for modeling of lifetime data with long-term survivors and change-point [Internet]. Journal Communications in Statistics - Theory and Methods. 2019 ;Available from: http://dx.doi.org/10.1080/03610926.2019.1648826
Vancouver
Cancho VG, Barriga GDC, Leão J, Saulo H. Survival model induced by discrete frailty for modeling of lifetime data with long-term survivors and change-point [Internet]. Journal Communications in Statistics - Theory and Methods. 2019 ;Available from: http://dx.doi.org/10.1080/03610926.2019.1648826
Trabalho de evento-resumo
Analysis of semi-competing risks data using Illness–Death processes with shared frailty inverse Gaussian: application in colon cancer data (2019)
Bedia, Elizbeth Chipa; Cancho, Vicente Garibay
Source: Abstracts. Conference titles: Workshop on Probabilistic and Statistical Methods - WPSM. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: ANÁLISE DE SOBREVIVÊNCIA, VEROSSIMILHANÇA, NEOPLASIAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BEDIA, Elizbeth Chipa; CANCHO, Vicente Garibay. Analysis of semi-competing risks data using Illness–Death processes with shared frailty inverse Gaussian: application in colon cancer data. Anais.. São Carlos: ICMC/USP - DEs/UFSCar, 2019.Disponível em: .
APA
Bedia, E. C., & Cancho, V. G. (2019). Analysis of semi-competing risks data using Illness–Death processes with shared frailty inverse Gaussian: application in colon cancer data. In Abstracts. São Carlos: ICMC/USP - DEs/UFSCar. Recuperado de http://wpsm.icmc.usp.br/7WPSM/2019_pipges_workshop_programa.pdf
NLM
Bedia EC, Cancho VG. Analysis of semi-competing risks data using Illness–Death processes with shared frailty inverse Gaussian: application in colon cancer data [Internet]. Abstracts. 2019 ;Available from: http://wpsm.icmc.usp.br/7WPSM/2019_pipges_workshop_programa.pdf
Vancouver
Bedia EC, Cancho VG. Analysis of semi-competing risks data using Illness–Death processes with shared frailty inverse Gaussian: application in colon cancer data [Internet]. Abstracts. 2019 ;Available from: http://wpsm.icmc.usp.br/7WPSM/2019_pipges_workshop_programa.pdf
Artigo de periodico
D-Measure: a bayesian model selection criterion for survival data (2019)
Yiqi, Bao ; Cancho, Vicente Garibay ; Dey, Dipak Kumar ; Louzada Neto, Francisco ; Suzuki, Adriano Kamimura
Source: Advances in Data Science and Adaptive Analysis. Unidade: ICMC
Subjects: ANÁLISE DE SOBREVIVÊNCIA, SIMULAÇÃO (ESTATÍSTICA), INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
YIQI, Bao; CANCHO, Vicente Garibay; DEY, Dipak Kumar; LOUZADA NETO, Francisco; SUZUKI, Adriano Kamimura. D-Measure: a bayesian model selection criterion for survival data. Advances in Data Science and Adaptive Analysis, Singapore, World Scientific, v. 11, n. 3 & 4, p. 1-18, 2019. Disponível em: < http://dx.doi.org/10.1142/S2424922X19500074 > DOI: 10.1142/S2424922X19500074.
APA
Yiqi, B., Cancho, V. G., Dey, D. K., Louzada Neto, F., & Suzuki, A. K. (2019). D-Measure: a bayesian model selection criterion for survival data. Advances in Data Science and Adaptive Analysis, 11( 3 & 4), 1-18. doi:10.1142/S2424922X19500074
NLM
Yiqi B, Cancho VG, Dey DK, Louzada Neto F, Suzuki AK. D-Measure: a bayesian model selection criterion for survival data [Internet]. Advances in Data Science and Adaptive Analysis. 2019 ; 11( 3 & 4): 1-18.Available from: http://dx.doi.org/10.1142/S2424922X19500074
Vancouver
Yiqi B, Cancho VG, Dey DK, Louzada Neto F, Suzuki AK. D-Measure: a bayesian model selection criterion for survival data [Internet]. Advances in Data Science and Adaptive Analysis. 2019 ; 11( 3 & 4): 1-18.Available from: http://dx.doi.org/10.1142/S2424922X19500074
Artigo de periodico
Semi-parametric cure rate proportional odds models with spatial frailties for interval-censored data (2019)
Yigi, Bao; Cancho, Vicente Garibay ; Louzada Neto, Francisco ; Suzuki, Adriano Kamimura
Source: Advances in Data Science and Adaptive Analysis. Unidade: ICMC
Subjects: ANÁLISE DE SOBREVIVÊNCIA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
YIGI, Bao; CANCHO, Vicente Garibay; LOUZADA NETO, Francisco; SUZUKI, Adriano Kamimura. Semi-parametric cure rate proportional odds models with spatial frailties for interval-censored data. Advances in Data Science and Adaptive Analysis, Singapore, World Scientific, v. 11, n. 3 & 4, p. 1-32, 2019. Disponível em: < http://dx.doi.org/10.1142/S2424922X19500050 > DOI: 10.1142/S2424922X19500050.
APA
Yigi, B., Cancho, V. G., Louzada Neto, F., & Suzuki, A. K. (2019). Semi-parametric cure rate proportional odds models with spatial frailties for interval-censored data. Advances in Data Science and Adaptive Analysis, 11( 3 & 4), 1-32. doi:10.1142/S2424922X19500050
NLM
Yigi B, Cancho VG, Louzada Neto F, Suzuki AK. Semi-parametric cure rate proportional odds models with spatial frailties for interval-censored data [Internet]. Advances in Data Science and Adaptive Analysis. 2019 ;11( 3 & 4): 1-32.Available from: http://dx.doi.org/10.1142/S2424922X19500050
Vancouver
Yigi B, Cancho VG, Louzada Neto F, Suzuki AK. Semi-parametric cure rate proportional odds models with spatial frailties for interval-censored data [Internet]. Advances in Data Science and Adaptive Analysis. 2019 ;11( 3 & 4): 1-32.Available from: http://dx.doi.org/10.1142/S2424922X19500050
Artigo de periodico
GARCH-in-mean models with asymmetric variance processes for bivariate European option evaluation (2019)
Lopes, Lucas Pereira ; Cancho, Vicente Garibay ; Louzada Neto, Francisco
Source: Chilean Journal of Statistics. Unidades: ICMC, IME
Subjects: INFERÊNCIA ESTATÍSTICA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, PROCESSOS ESTOCÁSTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOPES, Lucas Pereira; CANCHO, Vicente Garibay; LOUZADA NETO, Francisco. GARCH-in-mean models with asymmetric variance processes for bivariate European option evaluation. Chilean Journal of Statistics, Santiago, Sociedad Chilena de Estadística, v. 10, n. 2, p. 155-176, 2019. Disponível em: < http://chjs.mat.utfsm.cl/volumes/10/ChJS-10-02-04.pdf >.
APA
Lopes, L. P., Cancho, V. G., & Louzada Neto, F. (2019). GARCH-in-mean models with asymmetric variance processes for bivariate European option evaluation. Chilean Journal of Statistics, 10( 2), 155-176. Recuperado de http://chjs.mat.utfsm.cl/volumes/10/ChJS-10-02-04.pdf
NLM
Lopes LP, Cancho VG, Louzada Neto F. GARCH-in-mean models with asymmetric variance processes for bivariate European option evaluation [Internet]. Chilean Journal of Statistics. 2019 ; 10( 2): 155-176.Available from: http://chjs.mat.utfsm.cl/volumes/10/ChJS-10-02-04.pdf
Vancouver
Lopes LP, Cancho VG, Louzada Neto F. GARCH-in-mean models with asymmetric variance processes for bivariate European option evaluation [Internet]. Chilean Journal of Statistics. 2019 ; 10( 2): 155-176.Available from: http://chjs.mat.utfsm.cl/volumes/10/ChJS-10-02-04.pdf
Artigo de periodico
Hypothesis testing for the dispersion parameter of the hyper-Poisson regression model (2019)
Santos, Daiane de Souza; Cancho, Vicente Garibay; Rodrigues, Josemar
Source: Journal of Statistical Computation and Simulation. Unidade: ICMC
Subjects: DADOS DE CONTAGEM, TESTES DE HIPÓTESES, DISTRIBUIÇÃO DE POISSON, VEROSSIMILHANÇA, MÉTODO DE MONTE CARLO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Daiane de Souza; CANCHO, Vicente Garibay; RODRIGUES, Josemar. Hypothesis testing for the dispersion parameter of the hyper-Poisson regression model. Journal of Statistical Computation and Simulation, Abingdon, Taylor & Francis, v. 89, n. 5, p. 763-775, 2019. Disponível em: < http://dx.doi.org/10.1080/00949655.2019.1572144 > DOI: 10.1080/00949655.2019.1572144.
APA
Santos, D. de S., Cancho, V. G., & Rodrigues, J. (2019). Hypothesis testing for the dispersion parameter of the hyper-Poisson regression model. Journal of Statistical Computation and Simulation, 89( 5), 763-775. doi:10.1080/00949655.2019.1572144
NLM
Santos D de S, Cancho VG, Rodrigues J. Hypothesis testing for the dispersion parameter of the hyper-Poisson regression model [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 5): 763-775.Available from: http://dx.doi.org/10.1080/00949655.2019.1572144
Vancouver
Santos D de S, Cancho VG, Rodrigues J. Hypothesis testing for the dispersion parameter of the hyper-Poisson regression model [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 5): 763-775.Available from: http://dx.doi.org/10.1080/00949655.2019.1572144

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