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Robust Statistical Methods (Lecture Notes in Economic and Mathematical Systems)
Robust Statistical Methods (Lecture Notes in Economic and Mathematical Systems)
Date: 23 May 2011, 18:43

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The methods presented in this text are oriented toward the design of robust estimators. The primary concern is preventing any significant offset of the estimates due to the selection of an erroneous model or to spurious data in the sample. The second concern is bias reduction and variance estimation. The special emphasis reserved to type M estimators is justified by their analytical form which permits to assess their properties, even for small sample sizes (n=10 or 50), without resorting to involved arguments.

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