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|Title: ||Inference for the Evolution in Series of Studies|
|Authors: ||Areia, A.|
|Issue Date: ||15-Jul-2018|
|Publisher: ||The Association for Computing Machinery 2 Penn Plaza, Suite 701 New York New York 10121-0701|
|Citation: ||Areia, A., Mexia, J., Oliveira, M., 2018. Inference for the Evolution in Series of Studies.Proceedings of 2018 International Conference on Mathematics and Statistics (ICoMS 2018). 55-58. ACM ISBN: 978-1-4503-6538-3.|
|Abstract: ||Studies will be matrix triplets (X,Dp,Dn), where the matrix X has a
row per object and a column per variable, while Dp and Dn are
weight matrices for objects and variables, respectively.
Given a series of studies (Xi,Dp,Dn),i=1,…,k, we condense the
matrix triplets into the
, and use spectral analysis
of matrix [ ] with (
) to study
the series evolution.
When we have a series of studies for each treatment of a basis
design we carry out an ANOVA-like inference to study the action
of the factors in the base design on the evolution of the series
associated to the differents treatments.|
|Appears in Collections:||CIMA - Artigos em Livros de Actas/Proceedings|
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