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Regression Analysis: OLS Assumptions, Diagnostics, and Violations

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A systematic treatment of Ordinary Least Squares regression — its theoretical underpinnings, the Gauss-Markov assumptions, how to diagnose when they are violated, and the remedies available when they are.

Inhaltsübersicht

  • Ordinary Least Squares: The Model and Its Estimation
  • The Gauss-Markov Assumptions
  • Residual Diagnostics: Detecting Violations
  • Remedies for OLS Violations
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