Robust statistics — computational aspects and practical applications

Introduction

What this guide covers

Introduction Advanced Statistics · Computational Rigor

Overview

Topics covered

• Introduction
• Robust Statistics: Robust modeling against anomalies
• Limits of the classical paradigm and data contamination
• 1.1 Mathematical pollution models
• 1.2 Masking and Swamping Effects
• Influence functions and the breaking point

Related concepts

Main connections

• Outliers & influence diagnostics
• Median & robust location
• Linear algebra & matrices
• Calculus & differentiation
• Residual analysis & diagnostics
• Mean & expected value

Compatible notation

Mathematical sample in LaTeX

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