№ 156(2), February, 2020
Public date: 28.02.2020
Archive of journal: Articles count 13, 39 kb
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08.00.13 Mathematical and instrumental methods of Economics
INTEGRAL ASSESSMENT OF THE KRASNODAR REGION INSTITUTIONS OF HIGHER EDUCATION
08.00.13 Mathematical and instrumental methods of Economics
DescriptionThe article presents the results of a study of higher education institutions in the Krasnodar region based on the use of an integrated approach, identifies priority aspects of the development of universities. The level of the educational institution was calculated taking into account educational, research and international activities, staff and infrastructure. Information about the level of assessment of educational institutions is used by university applicants when they choose a particular institution. The work was carried out on the basis of monitoring the performance of educational institutions of higher education in the Krasnodar region in 2018. During the integral assessment, standardization methods were used to compare the indicator with the reference and linear transformations, as well as the method of additive convolution and the method of calculating distances. The studies showed the level of each institution of higher education, the ways of their development are highlighted. Thus, the assessment of higher education institutions, carried out on the basis of an integral indicator, covers almost all aspects of educational institutions, it allows you to quickly and objectively get an idea of universities, identify weaknesses and strengths, the results of the development of the main components of higher education institutions, and identify the reserves necessary to ensure its sustainable and effective development
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NON-NUMERICAL DATA STATISTICS IS A CENTRAL PART OF MODERN APPLIED STATISTICS
08.00.13 Mathematical and instrumental methods of Economics
DescriptionIn 1979, non-numerical data statistics was singled out as an independent area of applied statistics. Initially, the term "statistics of objects of non-numerical nature" was used to denote this area of mathematical methods of economics. Our basic non-numeric statistics textbook is called "Non-Numeric Statistics". Non-numerical data statistics is one of the four main areas of applied statistics (along with number statistics, multidimensional statistical analysis, statistics of time series and random processes). Statistics of non-numerical data are divided into statistics in spaces of a general nature and sections devoted to specific types of non-numerical data (statistics of interval data, statistics of fuzzy sets, statistics of binary relations, etc.). Currently, statistics in spaces of a general nature is the central part of applied statistics, and non-numeric data statistics including it is the main area of applied statistics. This statement is confirmed, in particular, by the analysis of publications in the section "Mathematical Research Methods" of the journal "Industrial Laboratory. Diagnostics of Materials" - the main place of publication of russian studies on applied statistics. This article is devoted to the analysis of the basic ideas of non-numerical data statistics against the background of the development of applied statistics from the perspective of a new paradigm of mathematical research methods. Various types of non-numeric data are described. The historical path of statistical science is analyzed. We have discussed the development of statistics of non-numerical data. The article analyzes basic ideas of statistics in spaces of a general nature: average values, laws of large numbers, extreme statistical problems, nonparametric estimates of the probability density, classification methods (diagnostics and cluster analysis), statistics of the integral type. Some statistical methods for analyzing data lying in specific spaces of non-numeric nature are briefly considered: non-parametric statistics (real distributions usually differ significantly from normal), statistics of fuzzy sets, theory of expert estimates (the Kemeny median is a sample average of expert orderings), etc. We have also discussed some unsolved problems in statistics of nonnumeric data
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08.00.13 Mathematical and instrumental methods of Economics
DescriptionThe article considers an approach to managing the production process in agriculture based on modeling and evaluation of added value chains. The work has proposed a scheme of links for the production chain of added value creation that contains source control and financing cash flow which comes first in the link of agricultural production, then produced products are supplied to the accumulator, and from there it sequentially passes through the links of the value chain of the cyclic processing facilities, from which finished products are marketed and the resulting revenue is directed to the source of funding and management. We have given mathematical descriptions of the movement of financial and material flows in the links of the developed value chain, and mathematical models for calculating the volume of material and financial flows are proposed. Financial flows were also investigated to compensate for the cost of converting material flows and their mathematical descriptions. The article obtains a mathematical model of the economic efficiency of the production process and proposes a mathematical model for calculating the minimum price for socially significant processing products