A comparison of three predictor selection techniques in multiple regression

DOI10.1007/BF02291267zbMath0195.48703MaRDI QIDQ2539353

Robert L. McCornack

Publication date: 1970

Published in: Psychometrika (Search for Journal in Brave)

zbMATH Keywords

statistics

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Cites Work

• Maximizing test battery prediction when the weights are required to be non-negative
• A criterion for selecting variables in a regression analysis
• Some multiple correlation and predictor selection methods
• Geometrical representation of two methods of linear least squares multiple correlation
• A new method for solving simultaneous linear equations associated with multivariate analysis
• Item selection procedures for item variables with a known factor structure
• Alternative Models for the Analysis of Variance
• A Multiple Comparison Sign Test: Treatments Versus Control
• A New Formula for Predicting the Shrinkage of the Coefficient of Multiple Correlation
• The Square Root Method and its Use in Correlation and Regression
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