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Filtros : "DADOS CENSURADOS" "Indexado no Current Index to Statistics" Limpar

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Artigo de periodico
On an asymmetric extension of the tobit model based on the tilted-normal distribution (2019)
Ferreira, Paulo Henrique; Shimizu, Taciana Kisaki Oliveira; Suzuki, Adriano Kamimura ; Louzada, Francisco
Source: Chilean Journal of Statistics. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, ANÁLISE DE SOBREVIVÊNCIA, DADOS CENSURADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERREIRA, Paulo Henrique et al. On an asymmetric extension of the tobit model based on the tilted-normal distribution. Chilean Journal of Statistics, v. 10, n. 2, p. 99-122, 2019Tradução . . Disponível em: http://chjs.mat.utfsm.cl/volumes/10/ChJS-10-02-01.pdf. Acesso em: 14 nov. 2024.
APA
Ferreira, P. H., Shimizu, T. K. O., Suzuki, A. K., & Louzada, F. (2019). On an asymmetric extension of the tobit model based on the tilted-normal distribution. Chilean Journal of Statistics, 10( 2), 99-122. Recuperado de http://chjs.mat.utfsm.cl/volumes/10/ChJS-10-02-01.pdf
NLM
Ferreira PH, Shimizu TKO, Suzuki AK, Louzada F. On an asymmetric extension of the tobit model based on the tilted-normal distribution [Internet]. Chilean Journal of Statistics. 2019 ; 10( 2): 99-122.[citado 2024 nov. 14 ] Available from: http://chjs.mat.utfsm.cl/volumes/10/ChJS-10-02-01.pdf
Vancouver
Ferreira PH, Shimizu TKO, Suzuki AK, Louzada F. On an asymmetric extension of the tobit model based on the tilted-normal distribution [Internet]. Chilean Journal of Statistics. 2019 ; 10( 2): 99-122.[citado 2024 nov. 14 ] Available from: http://chjs.mat.utfsm.cl/volumes/10/ChJS-10-02-01.pdf
Artigo de periodico
The bivariate Kumaraswamy Weibull regression model: a complete classical and Bayesian analysis (2018)
Fachini-Gomes, Juliana B.; Ortega, Edwin Moises Marcos; Cordeiro, Gauss M.; Suzuki, Adriano Kamimura
Source: Communications for Statistical Applications and Methods. Unidades: ESALQ, ICMC
Subjects: INFERÊNCIA BAYESIANA, DADOS CENSURADOS, ANÁLISE DE SOBREVIVÊNCIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FACHINI-GOMES, Juliana B. et al. The bivariate Kumaraswamy Weibull regression model: a complete classical and Bayesian analysis. Communications for Statistical Applications and Methods, v. 25, n. 5, p. 523-544, 2018Tradução . . Disponível em: https://doi.org/10.29220/CSAM.2018.25.5.523. Acesso em: 14 nov. 2024.
APA
Fachini-Gomes, J. B., Ortega, E. M. M., Cordeiro, G. M., & Suzuki, A. K. (2018). The bivariate Kumaraswamy Weibull regression model: a complete classical and Bayesian analysis. Communications for Statistical Applications and Methods, 25( 5), 523-544. doi:10.29220/CSAM.2018.25.5.523
NLM
Fachini-Gomes JB, Ortega EMM, Cordeiro GM, Suzuki AK. The bivariate Kumaraswamy Weibull regression model: a complete classical and Bayesian analysis [Internet]. Communications for Statistical Applications and Methods. 2018 ; 25( 5): 523-544.[citado 2024 nov. 14 ] Available from: https://doi.org/10.29220/CSAM.2018.25.5.523
Vancouver
Fachini-Gomes JB, Ortega EMM, Cordeiro GM, Suzuki AK. The bivariate Kumaraswamy Weibull regression model: a complete classical and Bayesian analysis [Internet]. Communications for Statistical Applications and Methods. 2018 ; 25( 5): 523-544.[citado 2024 nov. 14 ] Available from: https://doi.org/10.29220/CSAM.2018.25.5.523

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