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Filtros : "DISTRIBUIÇÃO LOGÍSTICA" "Bazán Guzmán, Jorge Luis" "ICMC" Removidos: " GRU020" "University of California (UC)" "FMRP-RMS" "Journal of the Brazilian Computer Society" "UFSC" Limpar

Filtros

Artigo de periodico
A flexible procedure for formulating probability distributions on the unit interval with applications (2020)
Rodrigues, Josemar ; Bazán Guzmán, Jorge Luis ; Suzuki, Adriano Kamimura
Source: Communications in Statistics - Theory and Methods. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, DISTRIBUIÇÕES (PROBABILIDADE), DISTRIBUIÇÃO LOGÍSTICA, GEOMETRIA E MODELAGEM COMPUTACIONAL, MATEMÁTICA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, ANÁLISE MULTIVARIADA, REGRESSÃO LOGÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RODRIGUES, Josemar e BAZÁN GUZMÁN, Jorge Luis e SUZUKI, Adriano Kamimura. A flexible procedure for formulating probability distributions on the unit interval with applications. Communications in Statistics - Theory and Methods, v. 49, n. 3, p. 738-754, 2020Tradução . . Disponível em: https://doi.org/10.1080/03610926.2018.1549254. Acesso em: 14 nov. 2024.
APA
Rodrigues, J., Bazán Guzmán, J. L., & Suzuki, A. K. (2020). A flexible procedure for formulating probability distributions on the unit interval with applications. Communications in Statistics - Theory and Methods, 49( 3), 738-754. doi:10.1080/03610926.2018.1549254
NLM
Rodrigues J, Bazán Guzmán JL, Suzuki AK. A flexible procedure for formulating probability distributions on the unit interval with applications [Internet]. Communications in Statistics - Theory and Methods. 2020 ; 49( 3): 738-754.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1080/03610926.2018.1549254
Vancouver
Rodrigues J, Bazán Guzmán JL, Suzuki AK. A flexible procedure for formulating probability distributions on the unit interval with applications [Internet]. Communications in Statistics - Theory and Methods. 2020 ; 49( 3): 738-754.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1080/03610926.2018.1549254
Artigo de periodico
L-logistic regression models: prior sensitivity analysis, robustness to outliers and applications (2019)
Paz, Rosineide F. da; Balakrishnan, Narayanaswamy; Bazán Guzmán, Jorge Luis
Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, DISTRIBUIÇÃO LOGÍSTICA, DISTRIBUIÇÕES (PROBABILIDADE), ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PAZ, Rosineide F. da e BALAKRISHNAN, Narayanaswamy e BAZÁN GUZMÁN, Jorge Luis. L-logistic regression models: prior sensitivity analysis, robustness to outliers and applications. Brazilian Journal of Probability and Statistics, v. 33, n. 3, p. 455-479, 2019Tradução . . Disponível em: https://doi.org/10.1214/18-BJPS397. Acesso em: 14 nov. 2024.
APA
Paz, R. F. da, Balakrishnan, N., & Bazán Guzmán, J. L. (2019). L-logistic regression models: prior sensitivity analysis, robustness to outliers and applications. Brazilian Journal of Probability and Statistics, 33( 3), 455-479. doi:10.1214/18-BJPS397
NLM
Paz RF da, Balakrishnan N, Bazán Guzmán JL. L-logistic regression models: prior sensitivity analysis, robustness to outliers and applications [Internet]. Brazilian Journal of Probability and Statistics. 2019 ; 33( 3): 455-479.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1214/18-BJPS397
Vancouver
Paz RF da, Balakrishnan N, Bazán Guzmán JL. L-logistic regression models: prior sensitivity analysis, robustness to outliers and applications [Internet]. Brazilian Journal of Probability and Statistics. 2019 ; 33( 3): 455-479.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1214/18-BJPS397

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