Estimation in mixed-effects functional ANOVA models

E.A. Rady, N.M. Kilany and S.A. Eliwa

Journal of Multivariate Analysis, 2015, vol. 133, issue C, 346-355

Abstract: 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.

Keywords: Linear mixed-effects models; Functional analysis of variance; Maximum likelihood estimator (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jmvana:v:133:y:2015:i:c:p:346-355

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DOI: 10.1016/j.jmva.2014.09.020

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