Nonparametric collectives of models stochastic dependence

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The article is devoted to synthesis and the analysis of nonparametric models of the stochastic dependences providing effective processing of the information in conditions small samples. The methodical basis of construction of models is made with principles of decomposition of systems and collective estimation. Are investigated asymptotic properties of offered models and results of computing experiments are analyzed.

Nonparametric models, decomposition of systems, methods collective estimation, asymptotic properties, small samples

Короткий адрес: https://sciup.org/148179081

IDR: 148179081

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