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Semiparametric estimation of covariance matrices for longitudinal data

Estimation of longitudinal data covariance structure poses significant challenges because the data are usually collected at irregular time points. A viable semiparametric model for covariance matrices was proposed in Fan, Huang and Li (2007) that allows one to estimate the variance function nonparam...

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Autors principals: Fan, Jianqing, Wu, Yichao
Format: Artigo
Idioma:Inglês
Publicat: 2008
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC2631936/
https://ncbi.nlm.nih.gov/pubmed/19180247
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1198/016214508000000742
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