Nonparametric methods for random variable set analysis
A.V. Lapko and V.A. Lapko
Krasnoyarsk
Pages: 44-50
Abstract
A method for random variable set analysis is proposed for problems of reconstruction of stochastic dependences and pattern recognition. It is based on estimating the distribution functions of elements of the sets and their transforming by means of nonparametric procedures. Asymptotic properties of the models are investigated. Obtained results are of actual significance in processing of large bodies of statistic data.
