Introduction
What this guide covers
Introduction // Advanced Statistical Inference · Robustness Theory
Overview
Topics covered
- Introduction
- Robust Statistics
- Epistemology of Robustness and Breakdown of Assumptions
- The Assumption of Normality and its Extreme Fragility
- Efficiency Loss Analysis in Contaminated Normals
- Pathologies of Classical Estimators versus Outliers
Related concepts
Main connections
Compatible notation
Mathematical sample in LaTeX
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\mathcal{P}_{\epsilon} = \{ F \mid F(x) = (1 - \epsilon) G(x) + \epsilon H(x) \}