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Artigo de periodico
Bayesian analysis for a skew extension of the multivariate null intercept measurement error model (2008)
Cancho, Vicente Garibay ; Aoki, Reiko ; Lachos Dávila, Victor Hugo
Source: Journal of Applied Statistics. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, REGRESSÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CANCHO, Vicente Garibay e AOKI, Reiko e LACHOS DÁVILA, Victor Hugo. Bayesian analysis for a skew extension of the multivariate null intercept measurement error model. Journal of Applied Statistics, v. no 2008, n. 11, p. 1239-1251, 2008Tradução . . Disponível em: https://doi.org/10.1080/02664760802319667. Acesso em: 15 nov. 2025.
APA
Cancho, V. G., Aoki, R., & Lachos Dávila, V. H. (2008). Bayesian analysis for a skew extension of the multivariate null intercept measurement error model. Journal of Applied Statistics, no 2008( 11), 1239-1251. doi:10.1080/02664760802319667
NLM
Cancho VG, Aoki R, Lachos Dávila VH. Bayesian analysis for a skew extension of the multivariate null intercept measurement error model [Internet]. Journal of Applied Statistics. 2008 ; no 2008( 11): 1239-1251.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1080/02664760802319667
Vancouver
Cancho VG, Aoki R, Lachos Dávila VH. Bayesian analysis for a skew extension of the multivariate null intercept measurement error model [Internet]. Journal of Applied Statistics. 2008 ; no 2008( 11): 1239-1251.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1080/02664760802319667
Artigo de periodico
Connectivity inference between neural structures via partial directed coherence (2007)
Takahashi, Daniel Yasumasa ; Baccalá, Luiz Antonio ; Sameshima, Koichi
Source: Journal of Applied Statistics. Unidades: EP, FM
Subjects: REDES NEURAIS, EPILEPSIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TAKAHASHI, Daniel Yasumasa e BACCALÁ, Luiz Antonio e SAMESHIMA, Koichi. Connectivity inference between neural structures via partial directed coherence. Journal of Applied Statistics, v. 34, n. 10, p. 1259-1273, 2007Tradução . . Acesso em: 15 nov. 2025.
APA
Takahashi, D. Y., Baccalá, L. A., & Sameshima, K. (2007). Connectivity inference between neural structures via partial directed coherence. Journal of Applied Statistics, 34( 10), 1259-1273.
NLM
Takahashi DY, Baccalá LA, Sameshima K. Connectivity inference between neural structures via partial directed coherence. Journal of Applied Statistics. 2007 ;34( 10): 1259-1273.[citado 2025 nov. 15 ]
Vancouver
Takahashi DY, Baccalá LA, Sameshima K. Connectivity inference between neural structures via partial directed coherence. Journal of Applied Statistics. 2007 ;34( 10): 1259-1273.[citado 2025 nov. 15 ]
Artigo de periodico
Use of exponential power distributions for mixture models in the presence of covariates (1999)
Achcar, Jorge Alberto ; Pereira, G D
Source: Journal of Applied Statistics. Unidade: ICMC
Assunto: INFERÊNCIA PARAMÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ACHCAR, Jorge Alberto e PEREIRA, G D. Use of exponential power distributions for mixture models in the presence of covariates. Journal of Applied Statistics, v. 26, n. 6, 1999Tradução . . Disponível em: https://doi.org/10.1080/02664769922115. Acesso em: 15 nov. 2025.
APA
Achcar, J. A., & Pereira, G. D. (1999). Use of exponential power distributions for mixture models in the presence of covariates. Journal of Applied Statistics, 26( 6). doi:10.1080/02664769922115
NLM
Achcar JA, Pereira GD. Use of exponential power distributions for mixture models in the presence of covariates [Internet]. Journal of Applied Statistics. 1999 ; 26( 6):[citado 2025 nov. 15 ] Available from: https://doi.org/10.1080/02664769922115
Vancouver
Achcar JA, Pereira GD. Use of exponential power distributions for mixture models in the presence of covariates [Internet]. Journal of Applied Statistics. 1999 ; 26( 6):[citado 2025 nov. 15 ] Available from: https://doi.org/10.1080/02664769922115
Artigo de periodico
Extreme value regression models: a usefull reparametrization for the survival function (1996)
Achcar, Jorge Alberto ; Damasceno, V L
Source: Journal of Applied Statistics. Unidade: ICMC
Assunto: INFERÊNCIA PARAMÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ACHCAR, Jorge Alberto e DAMASCENO, V L. Extreme value regression models: a usefull reparametrization for the survival function. Journal of Applied Statistics, v. 23, n. 1 , p. 59-68, 1996Tradução . . Disponível em: https://doi.org/10.1080/02664769624350. Acesso em: 15 nov. 2025.
APA
Achcar, J. A., & Damasceno, V. L. (1996). Extreme value regression models: a usefull reparametrization for the survival function. Journal of Applied Statistics, 23( 1 ), 59-68. doi:10.1080/02664769624350
NLM
Achcar JA, Damasceno VL. Extreme value regression models: a usefull reparametrization for the survival function [Internet]. Journal of Applied Statistics. 1996 ;23( 1 ): 59-68.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1080/02664769624350
Vancouver
Achcar JA, Damasceno VL. Extreme value regression models: a usefull reparametrization for the survival function [Internet]. Journal of Applied Statistics. 1996 ;23( 1 ): 59-68.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1080/02664769624350

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