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Multicollinearity: A Bayesian Interpretation

The Review of Economics and Statistics, 1973
T HE problem of collinear data sets in the context of the univariate multiple regression model has generated a confusing array of papers, comments and footnotes. Perusal of this literature does not lead the reader to conclude that the problem has even been rigorously defined.
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On the Misconception of Multicollinearity in Detection of Moderating Effects: Multicollinearity Is Not Always Detrimental

Multivariate Behavioral Research, 2010
Due to its extensive applicability and computational ease, moderated multiple regression (MMR) has been widely employed to analyze interaction effects between 2 continuous predictor variables. Accordingly, considerable attention has been drawn toward the supposed multicollinearity problem between predictor variables and their cross-product term.
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Assessment of Multicollinearity

Sociological Methods & Research, 1975
Interdependence among explanatory variables is a common condition for sociological analyses. It may markedly affect the stability of estimates of parameters obtained from least-squares regression. Multicollinearity is viewed as a problem which poses two questions for the analyst: how severe is the multicollinearity and what is its effect on the ...
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Multicollinearity

Applied Mathematics and Computation, 1975
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A Bayesian solution to multicollinearity through unobserved common factors

Tourism Management, 2021
A George Assaf, Efthymios G Tsionas
exaly  

Detecting Multicollinearity in Regression Analysis

American Journal of Applied Mathematics and Statistics, 2020
Noora Shrestha
exaly  

Multicollinearity in measurement error models

Communications in Statistics - Theory and Methods, 2022
Sahika Gökmen, Rukiye Dağalp
exaly  

Multicollinearity

1984
Thomas B. Fomby   +2 more
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