UDC 519.2: 316.4
DOI: 10.36871/2618-9976.2023.07.004
Authors
Roman A. Zhukov,
Doctor of Economics Sciences, Candidate of Physical and Mathematical Sciences, Associate Professor,
Associate Professor of the Department of Mathematics and Informatics, Financial University
under the Government of the Russian Federation (Tula Branch), Tula, Russia
Svetlana V. Prokopchina,
Doctor of Technical Sciences, Professor, Financial University under the Government
of the Russian Federation, Moscow, Russia
Abstract
The purpose of the study is to determine the possibility of identifying the type of distribution for the information of questionnaire surveys. The methodological complexity of such a task lies in the fact that the data are essentially unique experiments, for the processing of which it is impossible to use the methods of mathematical statistics. Identification of the distribution type is carried out on the basis of Bayesian intelligent technologies using the Pearson system, according to the methodology developed by one of the authors in the 70s of the last century. The technique has been successfully applied to identification of law distribution in the situations with small samples and under the conditions of considerable uncertainty of information. But for the task of questionnaire data processing this approach is used for the first time. This makes it possible to generate samples of any size according to the obtained distribution law and use them for processing by powerful methods of mathematical statistics. The article provides an example of its successful application to determine the laws of the distribution of indicators of the model of the value world of Russian youth, according to information obtained on the basis of the results of a survey of young people aged 17 to 30 years in 10 subjects of the Russian Federation.
Keywords
Bayesian intelligent technologies, Linguistic measurements, Factors, Value system of youth, Model, Probability distribution density, Software module
