dc.contributor.author | Antoniadis, Anestis | en |
dc.contributor.author | Sapatinas, Theofanis | en |
dc.creator | Antoniadis, Anestis | en |
dc.creator | Sapatinas, Theofanis | en |
dc.date.accessioned | 2019-12-02T10:33:36Z | |
dc.date.available | 2019-12-02T10:33:36Z | |
dc.date.issued | 2007 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/56426 | |
dc.description.abstract | Functional mixed-effects models are very useful in analyzing functional data. A general functional mixed-effects model that inherits the flexibility of linear mixed-effects models in handling complex designs and correlation structures is considered. A wavelet decomposition approach is used to model both fixed-effects and random-effects in the same functional space, meaning that the population-average curve and the subject-specific curves have the same smoothness property. A linear mixed-effects representation is then obtained that is used for estimation and inference in the general functional mixed-effects model. Adapting recent methodologies in linear mixed-effects and nonparametric regression models, hypothesis testing procedures for both fixed-effects and random-effects are provided. Using classical linear mixed-effects estimation techniques, the linear mixed-effects representation is also used to obtain wavelet-based estimates for both fixed-effects and random-effects in the general functional mixed-effects model. The usefulness of the proposed estimation and hypothesis testing procedures is illustrated by means of a small simulation study and a real-life dataset arising from physiology. © 2006 Elsevier B.V. All rights reserved. | en |
dc.source | Computational Statistics and Data Analysis | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-34247379058&doi=10.1016%2fj.csda.2006.09.038&partnerID=40&md5=d26a75be7187aa39aa4cfc79e8cddaa2 | |
dc.subject | Mathematical models | en |
dc.subject | Estimation | en |
dc.subject | Random processes | en |
dc.subject | Functional analysis | en |
dc.subject | Wavelet analysis | en |
dc.subject | Wavelet estimation | en |
dc.subject | Functional data | en |
dc.subject | Linear mixed-effects models | en |
dc.subject | Nonparametric hypothesis testing | en |
dc.subject | Smoothing spline estimation | en |
dc.title | Estimation and inference in functional mixed-effects models | en |
dc.type | info:eu-repo/semantics/article | |
dc.identifier.doi | 10.1016/j.csda.2006.09.038 | |
dc.description.volume | 51 | |
dc.description.issue | 10 | |
dc.description.startingpage | 4793 | |
dc.description.endingpage | 4813 | |
dc.author.faculty | Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Μαθηματικών και Στατιστικής / Department of Mathematics and Statistics | |
dc.type.uhtype | Article | en |
dc.description.notes | <p>Cited By :41</p> | en |
dc.source.abbreviation | Comput.Stat.Data Anal. | en |
dc.contributor.orcid | Sapatinas, Theofanis [0000-0002-6126-4654] | |
dc.gnosis.orcid | 0000-0002-6126-4654 | |