Abstract
Selection of variables for inclusion in a multiple regression equation is a familiar problem in empirical research. Desirably, theories or hypotheses provide guidance in specifying which variables to include. Often, however, several variables are available for measuring a particular attribute, and little basis exists for a clear-cut choice among them. Such situations arise frequently in the social sciences, and often also in engineering.
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© 1974 Springer-Verlag Berlin · Heidelberg
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Boyce, D.E., Farhi, A., Weischedel, R. (1974). Optimal Regression Analysis. In: Optimal Subset Selection. Lecture Notes in Economics and Mathematical Systems, vol 103. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-46311-2_2
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DOI: https://doi.org/10.1007/978-3-642-46311-2_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-06957-7
Online ISBN: 978-3-642-46311-2
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