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The first part of this paper contains an introduction into robust statistics with special emphasis on some difficult conceptual points and on recent results concerning the intuitive basis of robustness theory. A brief review of some classical robustness concepts and results follows, and the last part discusses a number of research areas in robustness which are of current interest, including treatment of arbitrary unstructured data and of unbalanced linear models.
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Frank R. Hampel (1978) studied this question.
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