A Geometric Approach to Compare Variables in a Regression Model
By J. Bring. 1996
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Matthew B. Blaschko
- Wacha Bounliphone
- James M. LeBreton
- Tamar Flash
- Arthur Gretton
- Arthur Tenenhaus
- Krikamol Muandet
- Bernhard Schölkopf
Citations in the corpus
- A low variance consistent test of relative dependency (2014, background): “In cross-language information retrieval and automated translation [11], it may be of interest to determine whether documents in a source language are a significantly better match to those in one target language than to another target language, either as a measure of difficulty of the respective…”
- Parabolic movement primitives and cortical states: merging optimality with geometric invariance (2009, background): “At every time lag combination, the sum of the contributions equals the R2 measure (Bring 1996).”
- History and Use of Relative Importance Indices in Organizational Research (2004, methodology): “The methods developed by Budescu (1993) and Lindeman et al. (1980) seem to be effective in quantifying relative importance.”
- Simple means to improve the interpretability of regression coefficients (2010, background): “There has been some controversy about how tomeasure the importance of parameters in linearmodels, because with correlated predictors there is no unique way to partition the variance in the response (Bring 1996; Johnson 2000).”
- Estimators of Relative Importance in Linear Regression Based on Variance Decomposition (2007, unknown): “Selection-based approaches have been criticized, for example, by Bring (1996) and references therein.”