ReP USP - Resultado da busca

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 et al. Power series cure rate model for spatially correlated interval-censored data based on generalized extreme value distribution. Journal of Computational and Applied Mathematics, v. 364, p. 1-15, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.cam.2019.112362. Acesso em: 04 nov. 2024.
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.[citado 2024 nov. 04 ] Available from: https://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.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.cam.2019.112362
Artigo de periodico
D-Measure: a bayesian model selection criterion for survival data (2019)
Yiqi, Bao ; Cancho, Vicente Garibay ; Dey, Dipak Kumar ; Louzada, 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 et al. D-Measure: a bayesian model selection criterion for survival data. Advances in Data Science and Adaptive Analysis, v. 11, n. 3 & 4, p. 1-18, 2019Tradução . . Disponível em: https://doi.org/10.1142/S2424922X19500074. Acesso em: 04 nov. 2024.
APA
Yiqi, B., Cancho, V. G., Dey, D. K., Louzada, 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 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.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1142/S2424922X19500074
Vancouver
Yiqi B, Cancho VG, Dey DK, Louzada 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.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1142/S2424922X19500074
Artigo de periodico
Estimation and influence diagnostics for zero-inflated hyper-Poisson regression model: full Bayesian analysis (2018)
Cancho, Vicente Garibay ; Yiqi, Bao; Fiorucci, José A.; Barriga, Gladys D. C.; Dey, Dipak K
Source: Communications in Statistics - Theory and Methods. Unidade: ICMC
Subjects: ESTATÍSTICA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA, INFERÊNCIA BAYESIANA, PROBABILIDADE, ANÁLISE DE SOBREVIVÊNCIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CANCHO, Vicente Garibay et al. Estimation and influence diagnostics for zero-inflated hyper-Poisson regression model: full Bayesian analysis. Communications in Statistics - Theory and Methods, v. 47, n. Ju 2018, p. 2741-2759, 2018Tradução . . Disponível em: https://doi.org/10.1080/03610926.2017.1342839. Acesso em: 04 nov. 2024.
APA
Cancho, V. G., Yiqi, B., Fiorucci, J. A., Barriga, G. D. C., & Dey, D. K. (2018). Estimation and influence diagnostics for zero-inflated hyper-Poisson regression model: full Bayesian analysis. Communications in Statistics - Theory and Methods, 47( Ju 2018), 2741-2759. doi:10.1080/03610926.2017.1342839
NLM
Cancho VG, Yiqi B, Fiorucci JA, Barriga GDC, Dey DK. Estimation and influence diagnostics for zero-inflated hyper-Poisson regression model: full Bayesian analysis [Internet]. Communications in Statistics - Theory and Methods. 2018 ; 47( Ju 2018): 2741-2759.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1080/03610926.2017.1342839
Vancouver
Cancho VG, Yiqi B, Fiorucci JA, Barriga GDC, Dey DK. Estimation and influence diagnostics for zero-inflated hyper-Poisson regression model: full Bayesian analysis [Internet]. Communications in Statistics - Theory and Methods. 2018 ; 47( Ju 2018): 2741-2759.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1080/03610926.2017.1342839
Artigo de periodico
On the Bayesian estimation and influence diagnostics for the Weibull-Negative-Binomial regression model with cure rate under latent failure causes (2017)
Yiqi, Bao; Cancho, Vicente Garibay ; Louzada, Francisco
Source: Communications in Statistics - Theory and Methods. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
YIQI, Bao e CANCHO, Vicente Garibay e LOUZADA, Francisco. On the Bayesian estimation and influence diagnostics for the Weibull-Negative-Binomial regression model with cure rate under latent failure causes. Communications in Statistics - Theory and Methods, v. 46, n. 3, p. 1462-1489, 2017Tradução . . Disponível em: https://doi.org/10.1080/03610926.2015.1019150. Acesso em: 04 nov. 2024.
APA
Yiqi, B., Cancho, V. G., & Louzada, F. (2017). On the Bayesian estimation and influence diagnostics for the Weibull-Negative-Binomial regression model with cure rate under latent failure causes. Communications in Statistics - Theory and Methods, 46( 3), 1462-1489. doi:10.1080/03610926.2015.1019150
NLM
Yiqi B, Cancho VG, Louzada F. On the Bayesian estimation and influence diagnostics for the Weibull-Negative-Binomial regression model with cure rate under latent failure causes [Internet]. Communications in Statistics - Theory and Methods. 2017 ; 46( 3): 1462-1489.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1080/03610926.2015.1019150
Vancouver
Yiqi B, Cancho VG, Louzada F. On the Bayesian estimation and influence diagnostics for the Weibull-Negative-Binomial regression model with cure rate under latent failure causes [Internet]. Communications in Statistics - Theory and Methods. 2017 ; 46( 3): 1462-1489.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1080/03610926.2015.1019150
Artigo de periodico
Influence diagnostics for the Weibull-Negative- Binomial regression model with cure rate under latent failure causes (2016)
Yiqi, Bao; Russo, Cibele Maria ; Cancho, Vicente Garibay ; Louzada, Francisco
Source: Journal of Applied Statistics. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA, ESTATÍSTICA APLICADA, REGRESSÃO LINEAR, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, INFERÊNCIA ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
YIQI, Bao et al. Influence diagnostics for the Weibull-Negative- Binomial regression model with cure rate under latent failure causes. Journal of Applied Statistics, v. 43, n. 6, p. 1027-1060, 2016Tradução . . Disponível em: https://doi.org/10.1080/02664763.2015.1089221. Acesso em: 04 nov. 2024.
APA
Yiqi, B., Russo, C. M., Cancho, V. G., & Louzada, F. (2016). Influence diagnostics for the Weibull-Negative- Binomial regression model with cure rate under latent failure causes. Journal of Applied Statistics, 43( 6), 1027-1060. doi:10.1080/02664763.2015.1089221
NLM
Yiqi B, Russo CM, Cancho VG, Louzada F. Influence diagnostics for the Weibull-Negative- Binomial regression model with cure rate under latent failure causes [Internet]. Journal of Applied Statistics. 2016 ; 43( 6): 1027-1060.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1080/02664763.2015.1089221
Vancouver
Yiqi B, Russo CM, Cancho VG, Louzada F. Influence diagnostics for the Weibull-Negative- Binomial regression model with cure rate under latent failure causes [Internet]. Journal of Applied Statistics. 2016 ; 43( 6): 1027-1060.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1080/02664763.2015.1089221
Artigo de periodico
The exponential Poisson logarithmic distribution (2016)
Fioruci, José Augusto; Yiqi, Bao; Louzada, Francisco ; Cancho, Vicente Garibay
Source: Communications in Statistics - Theory and Methods. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FIORUCI, José Augusto et al. The exponential Poisson logarithmic distribution. Communications in Statistics - Theory and Methods, v. 45, n. 9, p. 2556-2575, 2016Tradução . . Disponível em: https://doi.org/10.1080/03610926.2014.887106. Acesso em: 04 nov. 2024.
APA
Fioruci, J. A., Yiqi, B., Louzada, F., & Cancho, V. G. (2016). The exponential Poisson logarithmic distribution. Communications in Statistics - Theory and Methods, 45( 9), 2556-2575. doi:10.1080/03610926.2014.887106
NLM
Fioruci JA, Yiqi B, Louzada F, Cancho VG. The exponential Poisson logarithmic distribution [Internet]. Communications in Statistics - Theory and Methods. 2016 ; 45( 9): 2556-2575.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1080/03610926.2014.887106
Vancouver
Fioruci JA, Yiqi B, Louzada F, Cancho VG. The exponential Poisson logarithmic distribution [Internet]. Communications in Statistics - Theory and Methods. 2016 ; 45( 9): 2556-2575.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1080/03610926.2014.887106
Trabalho de evento-anais periodico
Bayesian approach of the exponential poisson logarithmic model (2015)
Fioruci, José Augusto; Yiqi, Bao; Louzada, Francisco ; Cancho, Vicente Garibay
Source: Interdisciplinary Bayesian Statistics: EBEB 2014. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, ESTATÍSTICA, ESTATÍSTICA APLICADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FIORUCI, José Augusto et al. Bayesian approach of the exponential poisson logarithmic model. Interdisciplinary Bayesian Statistics: EBEB 2014. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-12454-4_21. Acesso em: 04 nov. 2024. , 2015
APA
Fioruci, J. A., Yiqi, B., Louzada, F., & Cancho, V. G. (2015). Bayesian approach of the exponential poisson logarithmic model. Interdisciplinary Bayesian Statistics: EBEB 2014. Cham: Springer. doi:10.1007/978-3-319-12454-4_21
NLM
Fioruci JA, Yiqi B, Louzada F, Cancho VG. Bayesian approach of the exponential poisson logarithmic model [Internet]. Interdisciplinary Bayesian Statistics: EBEB 2014. 2015 ;370 .[citado 2024 nov. 04 ] Available from: https://doi.org/10.1007/978-3-319-12454-4_21
Vancouver
Fioruci JA, Yiqi B, Louzada F, Cancho VG. Bayesian approach of the exponential poisson logarithmic model [Internet]. Interdisciplinary Bayesian Statistics: EBEB 2014. 2015 ;370 .[citado 2024 nov. 04 ] Available from: https://doi.org/10.1007/978-3-319-12454-4_21
Artigo de periodico
The log-Weibull-negative-binomial regression model under latent failure causes and presence of randomized activation schemes (2015)
Louzada, Francisco ; Cancho, Vicente Garibay ; Yiqi, Bao
Source: Statistics. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA, ESTATÍSTICA APLICADA, REGRESSÃO LINEAR, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOUZADA, Francisco e CANCHO, Vicente Garibay e YIQI, Bao. The log-Weibull-negative-binomial regression model under latent failure causes and presence of randomized activation schemes. Statistics, v. 49, n. 4, 2015Tradução . . Disponível em: https://doi.org/10.1080/02331888.2014.925900. Acesso em: 04 nov. 2024.
APA
Louzada, F., Cancho, V. G., & Yiqi, B. (2015). The log-Weibull-negative-binomial regression model under latent failure causes and presence of randomized activation schemes. Statistics, 49( 4). doi:10.1080/02331888.2014.925900
NLM
Louzada F, Cancho VG, Yiqi B. The log-Weibull-negative-binomial regression model under latent failure causes and presence of randomized activation schemes [Internet]. Statistics. 2015 ; 49( 4):[citado 2024 nov. 04 ] Available from: https://doi.org/10.1080/02331888.2014.925900
Vancouver
Louzada F, Cancho VG, Yiqi B. The log-Weibull-negative-binomial regression model under latent failure causes and presence of randomized activation schemes [Internet]. Statistics. 2015 ; 49( 4):[citado 2024 nov. 04 ] Available from: https://doi.org/10.1080/02331888.2014.925900
Artigo de periodico
The destructive negative binomial cure rate model with a latent activation scheme (2013)
Cancho, Vicente Garibay ; Bandyopadhyay, Dipankar; Louzada, Francisco ; Yiqi, Bao
Source: Statistical Methodology. Unidade: ICMC
Subjects: ESTATÍSTICA APLICADA, REGRESSÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CANCHO, Vicente Garibay et al. The destructive negative binomial cure rate model with a latent activation scheme. Statistical Methodology, v. 13, p. 48-68, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.stamet.2013.01.006. Acesso em: 04 nov. 2024.
APA
Cancho, V. G., Bandyopadhyay, D., Louzada, F., & Yiqi, B. (2013). The destructive negative binomial cure rate model with a latent activation scheme. Statistical Methodology, 13, 48-68. doi:10.1016/j.stamet.2013.01.006
NLM
Cancho VG, Bandyopadhyay D, Louzada F, Yiqi B. The destructive negative binomial cure rate model with a latent activation scheme [Internet]. Statistical Methodology. 2013 ; 13 48-68.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.stamet.2013.01.006
Vancouver
Cancho VG, Bandyopadhyay D, Louzada F, Yiqi B. The destructive negative binomial cure rate model with a latent activation scheme [Internet]. Statistical Methodology. 2013 ; 13 48-68.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.stamet.2013.01.006

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