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This IMA Volume in Mathematics and its Applications DIRECTIONS IN ROBUST STATISTICS AND DIAGNOSTICS is based on the proceedings of the first four weeks of the s
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Offering an in-depth treatment of robust and resistant regression, this volume takes an applied approach and offers readers empirical examples to illustrate key
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Robust Regression: Analysis and Applications characterizes robust estimators in terms of how much they weight each observation discusses generalized properties