Identification of empirical distributions

Abstract

Methods of identification of random signal distributions are discussed: the existing approaches and different
methods of ordering and automatic selection of analytical distribution models. Examples of ordering using some of the methods are given. The peculiarities of modeletheka as a new multipurpose method of distribution identification, various characteristics measurement and imitation of random signals, their variative and vector-modelling are described.

About the authors

V. V. Gubarev

Novosibirsk State Technical University

Author for correspondence.
Email: gubarev@vt.cs.nstu.ru

doctor of technical sciences, professor

Russian Federation

References

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