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Estimation in mixed-effects functional ANOVA models

Author

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

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.

Suggested Citation

  • Rady, E.A. & Kilany, N.M. & Eliwa, S.A., 2015. "Estimation in mixed-effects functional ANOVA models," Journal of Multivariate Analysis, Elsevier, vol. 133(C), pages 346-355.
    • Handle: RePEc:eee:jmvana:v:133:y:2015:i:c:p:346-355
    DOI: 10.1016/j.jmva.2014.09.020
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    References listed on IDEAS

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    1. Antoniadis, Anestis & Sapatinas, Theofanis, 2007. "Estimation and inference in functional mixed-effects models," Computational Statistics & Data Analysis, Elsevier, vol. 51(10), pages 4793-4813, June.
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