Residuals and Influence in Regression¶
Cook, R. D., & Weisberg, S. (1982). Residuals and Influence in Regression. Chapman & Hall.
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1 citation across 1 artifact.
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Primes¶
- Outlier Leverage
- In statistics and regression — the classical case — high-leverage points pull the fit line toward themselves, and Cook's distance, hat values, and influence diagnostics were developed because ordinary least squares has zero breakdown point against a single bad point.
This sourceCook's distance, hat values, and influence diagnostics for identifying high-leverage points in least-squares regression.
- In statistics and regression — the classical case — high-leverage points pull the fit line toward themselves, and Cook's distance, hat values, and influence diagnostics were developed because ordinary least squares has zero breakdown point against a single bad point.
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