Identification of empirical distributions

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.