Abstract
A method for extending the uncertainty paradigm to regression analysis is presented. The properties of the rankmeasure- based algorithm as applied to the classical parametric regression problem are analyzed. The rank measure algorithm is compared with other uncertainty recalculation algorithms and the classical criteria regression algorithms.
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