@inproceedings{80a9914942e543b096ae4c912cdef2f8,
title = "STATIS Methodology: An Overview",
abstract = "The STATIS (Structuration des Tableaux a Trois Indices de la Statistique) methodology is a data analysis technique which computes Euclidean distances between studies of the same observations obtained in k different circumstances. The Escoufier operators are used to obtain a geometrical representation for the studies in a series. In this study we present developments in the STATIS methodology, namely how to make inferences when for each treatment of a model we have a series of studies.",
author = "Manuela Oliveira and Eug{\'e}nio Gar{\c c}{\~a}o and Grilo, {Lu{\'i}s M.} and Armando Alexandre and Mexia, {Jo{\~a}o Tiago}",
note = "info:eu-repo/grantAgreement/FCT/Concurso de avalia{\c c}{\~a}o no {\^a}mbito do Programa Plurianual de Financiamento de Unidades de I&D (2017%2F2018) - Financiamento Base/UIDB%2F04674%2F2020/PT# info:eu-repo/grantAgreement/EC/H2020/101007950/EU# Publisher Copyright: {\textcopyright} 2024 American Institute of Physics Inc.. All rights reserved.; International Conference of Numerical Analysis and Applied Mathematics 2022, ICNAAM 2022 ; Conference date: 19-09-2022 Through 25-09-2022",
year = "2024",
month = jun,
day = "7",
doi = "10.1063/5.0212208",
language = "English",
series = "AIP Conference Proceedings",
publisher = "AIP - American Institute of Physics",
number = "1",
editor = "Simos, {Theodore E.} and Charalambos Tsitouras",
booktitle = "International Conference on Numerical Analysis and Applied Mathematics",
address = "United States",
edition = "1",
}