APPLICATION OF STATISTICAL AND LINGUISTIC METHODS TO SOLVE THE PROBLEM OF IDENTIFICATION OF TELEMETRY DATA
The article is devoted to applications of statistical and linguis-tic methods to solve the problem of identification of telemetry data. It sets out the results of a study on the application of the rank statistics based on the classical law of distribution of Zipf and Zipf-Modelbrota to address issues of identification and subsequent classification of the parameters of the telemetry information. It is shown that for TMI distribution of frequencies of word forms, as a function of the rank of word forms differs significantly from both the classical law of Zipf, and on the distributions received by the expansion of the law. When solving practical problems of approximation of data from the telemetry means is proposed to use the new law of random variables, which are an extension of the Zipf law.