Detection and Handling of Multicollinearity in Regression Analysis (Q166747): Difference between revisions

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Revision as of 12:11, 8 September 2024

Detecting and managing issues in statistical models that occur when predictor variables are highly correlated.
  • Multicollinearity
  • Regression Analysis
  • Outlier Detection
  • Robust Estimation
  • Variance Inflation Factor
  • Principal Component Analysis
  • Relative Importance
  • Depth Functions
  • Robust Statistics
  • Functional Data
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English
Detection and Handling of Multicollinearity in Regression Analysis
Detecting and managing issues in statistical models that occur when predictor variables are highly correlated.
  • Multicollinearity
  • Regression Analysis
  • Outlier Detection
  • Robust Estimation
  • Variance Inflation Factor
  • Principal Component Analysis
  • Relative Importance
  • Depth Functions
  • Robust Statistics
  • Functional Data

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