Abstract
Analysis of linear relations between variables, given a third one, can be investigated for three-way three-mode data, by defining new measures of linear dependence between occasions. In this paper, two partial correlation coefficients between matrices are proposed. Their properties are analyzed, in particular with respect to the absence of conditional linear dependence.
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© 2000 Springer-Verlag Berlin · Heidelberg
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Vicari, D. (2000). Three-Way Partial Correlation Measures. In: Kiers, H.A.L., Rasson, JP., Groenen, P.J.F., Schader, M. (eds) Data Analysis, Classification, and Related Methods. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-59789-3_45
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DOI: https://doi.org/10.1007/978-3-642-59789-3_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-67521-1
Online ISBN: 978-3-642-59789-3
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