The Minimax, the Minimin, and the Hurwicz Adjustment Principle

Theory and Decision 52 (3):233-260 (2002)
Abstract
In this paper the Hurwicz decision rule is applied to an adjustment problem concerning the decision whether a given action should be improved in the light of some knowledge on the states of nature or on other actors' behaviour. In comparison with the minimax and the minimin adjustment principles the general Hurwicz rule reduces to these specific classes whenever the underlying loss function is quadratic and knowledge is given by an ellipsoidal set. In the framework of the adjustment model discussed in this paper Hurwicz's optimism index can be interpreted as a mobility index representing the actor's attitude towards new external information. Examples are given that serve to illustrate the theoretical findings
Keywords Adjustment model  Ellipsoidal information  Hurwicz principle  Minimax principle  Minimin principle  Quadratic loss function
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DOI 10.1023/A:1019602429921
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