Abstract
A technique is proposed for constructing a nonparametric model of a multidimensional dependence in conditions of small volumes of initial statistical data. The method is based on a sequential procedure for building a nonparametric model in the space of argument lists of the restored dependency. The as-ymptotic properties of the developed model are investigated and the results of computational experi-ments are presented.
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