Estimation in mixed-effects functional ANOVA models

Functional mixed-effects models are very useful in analyzing data. In this paper, we consider a functional mixed-effects model, where the observations are the real functions, and derive the maximum likelihood estimators of the functional parameters and variance components. The properties of the maximum likelihood estimators are also investigated.

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Year of publication:	2015
Authors:	Rady, E.A. ; Kilany, N.M. ; Eliwa, S.A.
Published in:	Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 133.2015, C, p. 346-355
Publisher:	Elsevier
Subject:	Linear mixed-effects models \| Functional analysis of variance \| Maximum likelihood estimator

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10011116233