Source: International Statistical Review. Unidade: IME
Subjects: DADOS DE CONTAGEM, ANÁLISE DE DADOS LONGITUDINAIS, ESTATÍSTICA APLICADA
ABNT
SINGER, Júlio da Motta e ROCHA, Francisco M. M e NOBRE, Juvêncio Santos. Graphical tools for detecting departures from linear mixed model assumptions and some remedial measures. International Statistical Review, v. 85, n. 2, p. 290-324, 2017Tradução . . Disponível em: https://doi.org/10.1111/insr.12178. Acesso em: 02 out. 2024.APA
Singer, J. da M., Rocha, F. M. M., & Nobre, J. S. (2017). Graphical tools for detecting departures from linear mixed model assumptions and some remedial measures. International Statistical Review, 85( 2), 290-324. doi:10.1111/insr.12178NLM
Singer J da M, Rocha FMM, Nobre JS. Graphical tools for detecting departures from linear mixed model assumptions and some remedial measures [Internet]. International Statistical Review. 2017 ; 85( 2): 290-324.[citado 2024 out. 02 ] Available from: https://doi.org/10.1111/insr.12178Vancouver
Singer J da M, Rocha FMM, Nobre JS. Graphical tools for detecting departures from linear mixed model assumptions and some remedial measures [Internet]. International Statistical Review. 2017 ; 85( 2): 290-324.[citado 2024 out. 02 ] Available from: https://doi.org/10.1111/insr.12178