Regressive analysis of dynamic systems

The monograph sets out statistical methods for modeling dynamic systems according to the observations of their functioning in conditions of structural uncertainty in the composition of the input variables and the degree of statistical dependence between random components in models. As part of the method of group accounting of arguments (MSUA), the quality criteria are developed, based on the breakdown of the sample of observations on the training and verification submission, and the criteria of the sliding exam.
The application of the stated modeling methods allows you to get deeper into the essence of phenomena and objects in the process of scientific research, allows you to better describe the condition and predict the behavior of systems in conditions of structural uncertainty in various applications.
The book is intended for specialists in mathematical modeling in various fields of science and practice, multidimensional statistical analysis, as well as for students and graduate students of educational areas "Applied Mathematics", "Informatics and Cybernetics"