Summary
The aim of this paper is to present a non linear additive extension for the linear non symmetrical analysis of two data arrays. The two groups of variables associated with each of these arrays play a non symmetrical role (the response variables and the explanatory variables). As in the linear approach the graphical issues provided by the additive approach are very easy to interpret. An application is given on spatial correlation models relating covariance to distance for different regions of the brain.
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© 1994 Springer-Verlag Berlin Heidelberg
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Durand, JF., Escoufier, Y. (1994). A non linear approach to Non Symmetrical Data Analysis. In: Diday, E., Lechevallier, Y., Schader, M., Bertrand, P., Burtschy, B. (eds) New Approaches in Classification and Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-51175-2_59
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DOI: https://doi.org/10.1007/978-3-642-51175-2_59
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-58425-4
Online ISBN: 978-3-642-51175-2
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