Parametrizations, fixed and random effects

We consider the problem of estimating the random element s of a finite-dimensional vector space S from the continuous data corrupted by noise with unknown variance σw2. It is assumed that the mean E(s) (the fixed effect) of s belongs to a known vector subspace F of S, and that the likelihood of the...

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Veröffentlicht in:	Journal of multivariate analysis 2017-02, Vol.154, p.162-176
Hauptverfasser:	Dermoune, Azzouz, Preda, Cristian
Format:	Artikel
Sprache:	eng
Schlagworte:	Applications Climate change detection Cubic spline Fixed effect General linear model Likelihood Methodology Random effect Smoothing parameter Statistics
Online-Zugang:	Volltext
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