outliers

  1. Nicole Seaman

    P1.T2.20.20 Regression diagnostics: outliers (Cook's distance), m-fold cross-validation, and residual diagnostics

    Learning objectives: Explain two model selection procedures and how these relate to the bias-variance trade-off. Describe the various methods of visualizing residuals and their relative strengths. Describe methods for identifying outliers and their impact. Determine the conditions under which...
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