A computational understanding of partial and part determination coefficients
暂无分享,去创建一个
[1] L. Leemis. Applied Linear Regression Models , 1991 .
[2] Ronald Christensen,et al. GRAPHICAL VIEWS OF SUPPRESSION AND MULTICOLLINEARITY IN MULTIPLE LINEAR REGRESSION , 2006 .
[3] D. Hamilton. Sometimes R 2 > r 2 yx 1 + r 2 yx 2 : Correlated Variables are Not Always Redundant , 1987 .
[4] Terri L. Moore,et al. SAS> for Linear Models , 2003, Technometrics.
[5] Roger Holder,et al. A Quirk in Multiple Regression: The Whole Regression Can be Greater than the Sum of its Parts , 1988 .
[6] Franklin A. Graybill,et al. Regression Analysis-Concepts and Applications , 1995 .
[7] H. Lynn. Suppression and Confounding in Action , 2003 .