Robust Statistics

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Author/s

Ioannis Pitas (AUTH)

About the resource/s

This lecture overviews Robust Statistics that has many applications in Data Analytics and Digital Signal Processing and Analysis. It covers the following topics in detail: Outliers. Measures of Robustness: Sensitivity Curve (SC), The Influence FunctionBreaking Point. Robust Estimators: L – EstimatorsM – Estimators, S – Estimators.

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