Introduction to Robust Estimation and Hypothesis Testing, 3rd Edition > 6.16 Exercises > 6.16 Exercises - Pg. 290: Safari Books Online

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Introduction to Robust Estimation and Hypothesis Testing, 3rd Edition

Introduction to Robust Estimation and Hypothesis Testing, 3rd Edition

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Contents

Table of Contents

Introduction to Robust Estimation and Hypothesis Testing

Table of Contents

2 A Foundation for Robust Methods

3 Estimating Measures of Location and Scale

4 Confidence Intervals in the One-Sample Case

5 Comparing Two Groups

6 Some Multivariate Methods

6.1 Generalized Variance

6.3 Some Affine Equivariant Estimators

6.4 Multivariate Outlier Detection Methods

6.5 A Skipped Estimator of Location and Scatter

6.6 Robust Generalized Variance

6.7 Inference in the One-Sample Case

6.8 Two-Sample Case

6.9 Multivariate Density Estimators

6.10 A Two-Sample, Projection-Type Extension of the Wilcoxon-Mann-Whitney Test

6.11 A Relative Depth Analog of the Wilcoxon-Mann-Whitney Test

6.12 Comparisons Based on Depth

6.13 Comparing Dependent Groups Based on All Pairwise Differences

6.14 Robust Principal Components Analysis

6.15 Cluster Analysis

7 One-Way and Higher Designs for Independent Groups

8 Comparing Multiple Dependent Groups

9 Correlation and Tests of Independence

10 Robust Regression

11 More Regression Methods

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