Shimizu, Taciana K. O.; Louzada, Francisco 
; Suzuki, Adriano Kamimura ; Ehlers, Ricardo Sandes
Source: Journal of Data Science. Unidade: ICMC
Subjects: PROBABILIDADE, INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA
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SHIMIZU, Taciana K. O. et al. Modeling compositional regression with uncorrelated and correlated errors: a Bayesian approach. Journal of Data Science, v. 16, n. 2, p. 221-250, 2018Tradução . . Disponível em: https://doi.org/10.6339/JDS.201804_16(2).0002. Acesso em: 28 nov. 2025.APA
Shimizu, T. K. O., Louzada, F., Suzuki, A. K., & Ehlers, R. S. (2018). Modeling compositional regression with uncorrelated and correlated errors: a Bayesian approach. Journal of Data Science, 16( 2), 221-250. doi:10.6339/JDS.201804_16(2).0002NLM
Shimizu TKO, Louzada F, Suzuki AK, Ehlers RS. Modeling compositional regression with uncorrelated and correlated errors: a Bayesian approach [Internet]. Journal of Data Science. 2018 ; 16( 2): 221-250.[citado 2025 nov. 28 ] Available from: https://doi.org/10.6339/JDS.201804_16(2).0002Vancouver
Shimizu TKO, Louzada F, Suzuki AK, Ehlers RS. Modeling compositional regression with uncorrelated and correlated errors: a Bayesian approach [Internet]. Journal of Data Science. 2018 ; 16( 2): 221-250.[citado 2025 nov. 28 ] Available from: https://doi.org/10.6339/JDS.201804_16(2).0002
