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| Practical Reasons for Using Robust Methods | |
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| A Foundation for Robust Methods | |
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| Estimating Measures of Location and Scale | |
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| Confidence Intervals in the One-Sample Case | |
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| Comparing Two Groups | |
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| One-Way and Higher Designs | |
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| Correlationand Related Issues | |
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| Robust Regression | |
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| More Regression Methods | |
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| Practical Reasons for Using Robust Methods: Problems with Assuming Normality | |
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| Transformations | |
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| The Influence Curve | |
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| Is the ANOVA F Robust? Regression | |
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| More Remarks | |
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| Using the Computer | |
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| A Foundation for Robust Methods: Basic Tools for Judging Robustness | |
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| Some Measures of Location and Their Influence Function | |
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| Measures of Scale | |
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| Scale Equivariant M-Measures of Location | |
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| Winsorized Expected Values | |
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| Estimating Measures of Location and Scale: The Sample Timmed Mean | |
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| The Finite Sample Breakdown Point | |
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| Estimating Quantiles | |
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| An M-Estimator of Location | |
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| One-Step M-estimator | |
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| W-estimators | |
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| Some Comparisons of the Locaiton Estimators | |
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| More Measures of Scale | |
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| Exercises | |
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| Confidence Intervals in the One-Sample Case: Problems When Working with Means | |
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| The g-and-h Distribution | |
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| Inferences About the Trimmed Mean | |
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| Inferences About M-Estimators | |
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| Confidence Intervals for Quantiles | |
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| Concluding Remarks | |
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| Exercises | |
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| Comparing Two Groups: The Shift Function | |
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| Student's Test | |
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| The Yuen-Welch Test | |
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| Comparing M-Estimators | |
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| Comparing Biweight Midvariances | |
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| Inferences about p | |
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| Comparing Dependent Groups | |
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| Exercises | |
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| One Way and Higher Dseigns: Trimmed Means in a One-Way Design | |
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| Multiple Comparisons and Linear Constrsts | |
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| A Random Effects Model for Trimmed Means | |
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| Comparing M-Measures of Location | |
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| A Ranked-Based Test | |
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| A One-Way Design with Dependent Groups | |
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| A split-Plot Design | |
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| Some Concluding Remarks | |
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| Exercises | |
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| Correlation and Related Issues: Problems with the Product Moemt Correlation | |
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| The Percentage Bend Correlation | |
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| The Biweight Midcovariance | |
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| Multivariate Measures of Location and Scatter | |
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| Minimum Volume Ellipsoid Estimator | |
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| Exercises | |
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| Robust Regression: Problems with Ordinary Least Squares | |
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| M-Estimator | |
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| The Hat Matrix | |
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| Generalized M-Estimators | |
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| The Coakley-Hettmansperger Estimator | |
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| A Criticism of Methods with a High Breakdown Point | |
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| The Biweight Midregression Method | |
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| Alternative Estimation Procedures | |
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| Exercises | |
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| More Regression Methods: Omnibus Tests for Regression Parameters.Comparing the Parameters of Two Independent Groups | |
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| Curvilinearity | |
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| ANCOVA | |
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| Exercises | |
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| Subject Index | |