Abstract
A problem of selecting a subset of parameters containing a maximum amount of information on all parameters of a given set is considered. The proposed method of selection is based on the informationtheory analysis and rank statistics. The uncertainty coefficient (normalized mutual information) is used as a measure of information about one parameter contained in another parameter.
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