Source: Chilean Journal of Statistics. Unidade: ICMC
Subjects: ASSIMETRIA, ANÁLISE MULTIVARIADA, DISTRIBUIÇÃO NORMAL, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, ANÁLISE DE ERROS
ABNT
LOUZADA, Francisco et al. Compositional regression modeling under tilted normal errors: an application to a brazilian super league volleyball data set. Chilean Journal of Statistics, v. 9, n. 2, p. 33-53, 2018Tradução . . Disponível em: http://chjs.mat.utfsm.cl/volumes/09/02/Louzada_etal(2018).pdf. Acesso em: 16 nov. 2024.APA
Louzada, F., Shimizu, T. K. O., Suzuki, A. K., Mazucheli, J., & Ferreira, P. H. (2018). Compositional regression modeling under tilted normal errors: an application to a brazilian super league volleyball data set. Chilean Journal of Statistics, 9( 2), 33-53. Recuperado de http://chjs.mat.utfsm.cl/volumes/09/02/Louzada_etal(2018).pdfNLM
Louzada F, Shimizu TKO, Suzuki AK, Mazucheli J, Ferreira PH. Compositional regression modeling under tilted normal errors: an application to a brazilian super league volleyball data set [Internet]. Chilean Journal of Statistics. 2018 ; 9( 2): 33-53.[citado 2024 nov. 16 ] Available from: http://chjs.mat.utfsm.cl/volumes/09/02/Louzada_etal(2018).pdfVancouver
Louzada F, Shimizu TKO, Suzuki AK, Mazucheli J, Ferreira PH. Compositional regression modeling under tilted normal errors: an application to a brazilian super league volleyball data set [Internet]. Chilean Journal of Statistics. 2018 ; 9( 2): 33-53.[citado 2024 nov. 16 ] Available from: http://chjs.mat.utfsm.cl/volumes/09/02/Louzada_etal(2018).pdf