Grömping, U. (2007), "Estimators of relative importance in linear regression based on variance decomposition," the American statistician, 61, 139-147: Comment by menard and response. Two simple estimators of relative importance in linear regression based on variance decomposition

American Statistician

Volumn 61, Issue 3, 2007, Pages 280-282

  Menard, Scott ^a  

^a SAM HOUSTON STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 34548583093     PISSN: 00031305     EISSN: None     Source Type: Journal    
DOI: 10.1198/000313007X223739     Document Type: Note

References (11)

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2. Grömping, U. (2007), "Estimators of Relative Importance in Linear Regression Based on Variance Decomposition," The American Statistician, 61, 139-147.
3. Hoffman, P. J. (1960), "The Paramorphic Representation of Clinical Judgment," Psychological Bulletin, 57, 116-131.
4. Kruskal, W. (1987), "Relative Importance by Averaging Over Orderings," The American Statistician, 41, 6-10.
5. 2," The American Statistician, 39, 279-285.
6. Lindeman, R. H., Merenda, P. F., and Gold, R. Z. (1980), Introduction to Bivariate and Multivariate Analysis, Glenview, IL: Scott, Foresman.
7. Menard, S. (2000), "Coefficients of Determination for Multiple Logistic Regression Analysis," The American Statistician, 54, 17-24.
8. _ (2004), "Six Approaches to Calculating Standardized Logistic Regression Coefficients," The American Statistician, 58, 218-223.
9. Tabachnick, B. G., and Fidell, L. S. (2007), Using Multivariate Statistics (4th ed.), Boston: Allyn and Bacon.
10. Tatsuoka, M.M. (1971), Multivariate Analysis: Techniques for Educational and Psychological Research, New York: Wiley.
11. Wherry, R. J., Sr. (1931), "A New Formula for Predicting the Shrinkage of the Coefficient of Multiple Correlation," Annals of Mathematical Statistics, 2, 440-457.