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Fitting multiplicative models by robust alternating regressions

✍ Scribed by C. Croux; P. Filzmoser; G. Pison; P. J. Rousseeuw

Book ID
110413170
Publisher
Springer US
Year
2003
Tongue
English
Weight
294 KB
Volume
13
Category
Article
ISSN
0960-3174

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The sum of least-squares regression method is normally used when principal components are extracted from a data matrix. This may result in a misleading set of principal components if outliers are present in the data set, in terms of both the number of components and their direction in vector space.