Abstract
Regression analysis tries to measure the influences of independent variables on a dependent variable. This can be achieved by partial coefficients if there is not too much multicollinearity. A new method provides alternative coefficients which can be interpreted for every degree of multicollinearity.
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Fickel, N. (2002). Regression Analysis of Extremely Multicollinear Data. In: Gaul, W., Ritter, G. (eds) Classification, Automation, and New Media. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55991-4_7
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DOI: https://doi.org/10.1007/978-3-642-55991-4_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-43233-3
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