Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Eric Houngla Adjakossa"'
Publikováno v:
PLoS ONE, Vol 11, Iss 8, p e0159649 (2016)
In the context of multivariate multilevel data analysis, this paper focuses on the multivariate linear mixed-effects model, including all the correlations between the random effects when the dimensional residual terms are assumed uncorrelated. Using
Externí odkaz:
https://doaj.org/article/8eaf8f2b4bff43f4bf08202f394f50cf
Publikováno v:
The International Journal of Biostatistics. 15
In this paper, we provide the ML (Maximum Likelihood) and the REML (REstricted ML) criteria for consistently estimating multivariate linear mixed-effects models with arbitrary correlation structure between the random effects across dimensions, but in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18657fafc553aeff0e9f519fc9140185
https://doi.org/10.1515/ijb-2017-0076
https://doi.org/10.1515/ijb-2017-0076
Publikováno v:
PLoS ONE
PLoS ONE, Public Library of Science, 2016, 11 (8), pp.e0159649. ⟨10.1371/journal.pone.0159649⟩
PLoS ONE, 2016, 11 (8), pp.e0159649. ⟨10.1371/journal.pone.0159649⟩
PLoS ONE, Vol 11, Iss 8, p e0159649 (2016)
PLoS ONE, Public Library of Science, 2016, 11 (8), pp.e0159649. ⟨10.1371/journal.pone.0159649⟩
PLoS ONE, 2016, 11 (8), pp.e0159649. ⟨10.1371/journal.pone.0159649⟩
PLoS ONE, Vol 11, Iss 8, p e0159649 (2016)
International audience; In the context of multivariate multilevel data analysis, this paper focuses on the multivariate linear mixed-effects model, including all the correlations between the random effects when the dimensional residual terms are assu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a2cc47bb290fba4d3a9c8b4e335dd86
https://hal.sorbonne-universite.fr/hal-01378473
https://hal.sorbonne-universite.fr/hal-01378473
