RTI uses cookies to offer you the best experience online. By clicking “accept” on this website, you opt in and you agree to the use of cookies. If you would like to know more about how RTI uses cookies and how to manage them please view our Privacy Policy here. You can “opt out” or change your mind by visiting: http://optout.aboutads.info/. Click “accept” to agree.
Condition Indexes and Variance Decompositions for Diagnosing Collinearity in Linear Model Analysis of Survey Data
Liao, D., & Valliant, R. (2012). Condition Indexes and Variance Decompositions for Diagnosing Collinearity in Linear Model Analysis of Survey Data. In Federal Committee on Statistical Methodology 2012 Research Conference Proceedings (pp. 1 - 19)
