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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 | |