METHODS FOR SEARCHING FOR THE MOST INFORMATIVE SET OF ATTRIBUTES IN REGRESSION-ANALYSIS

Authors
Citation
Ai. Orlov, METHODS FOR SEARCHING FOR THE MOST INFORMATIVE SET OF ATTRIBUTES IN REGRESSION-ANALYSIS, Industrial laboratory, 61(1), 1995, pp. 56-58
Citations number
19
Categorie Soggetti
Materials Science, Characterization & Testing","Instument & Instrumentation
Journal title
ISSN journal
00198447
Volume
61
Issue
1
Year of publication
1995
Pages
56 - 58
Database
ISI
SICI code
0019-8447(1995)61:1<56:MFSFTM>2.0.ZU;2-R
Abstract
The currently popular statement of the problem of searching for an inf ormative set of attributes is discussed in relation to the paper by A. N. Kolmogorov ''Concerning the Applicability of Statistically Determi ned Prediction Formulas'' (1933), which shows that the exhaustive sear ch for predictor sets leads to an inadequate ''inflation'' of the corr elation coefficient between the response and the ''best'' linear predi ctor function. The errors into which some present-day authors fall wer e analyzed by A.N. Kolmogorov more than 60 years ago.