Author: Ingo Althofer

Date: 12:06:34 12/30/05

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On December 30, 2005 at 13:47:15, Roger D Davis wrote: >On December 30, 2005 at 13:02:43, Ingo Althofer wrote: > in case of linear evaluation functions with lots >>of terms there is always a small subset of the terms >>such that this set with the right parameters is >>almost as good as the full evaluation function. > >The whole multivariate approach to the social sciences, of which multiple linear >regression is an example, is based on the same assumption. ^^^^^^^^^^^^^^^^ My result mentioned above is not an assumption, but a proof (with arguments from linear algebra and probability theory). But, of course, it is not an accidence that the principal component analysis works so well in many (also social) sciences. >Parsimony rules. Or, formulated more positively: "Occams razor is the best we have!" Ingo.

- Proof From Mathematics Into Social Sciences?
**Rolf Tueschen***18:25:58 12/30/05*

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