Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/25427

Title: Inference for the Evolution in Series of Studies
Authors: Areia, A.
Mexia, J.
Oliveira, Maria
Keywords: ANOVA
Inference
STATIS
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.
URI: http://hdl.handle.net/10174/25427
ISBN: 978-1-4503-6538-3
Type: article
Appears in Collections:CIMA - Artigos em Livros de Actas/Proceedings

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