Issue №: 8 (48)
The magazine deals with the problems of the agricultural sector of the economy in the context of integration and processes of globalization. Attention is paid to the issues of development of digital economy, rural territories, technologies of enterprise management and organization of accounting, problems of legal support of economic processes, market tendencies of development of various branches of economy. Particular attention is paid to green tourism as a promising segment of the national economy.
AUTOMATED INFORMATION SYSTEM FOR APPROXIMATION OF ECONOMIC INDICATORS
DZIS Victor, Candidate of Technical Sciences, Associate Professor, Department of Mathematics,
Physics and Computer Technologies of Vinnytsia National Agrarian University (21008, 21008, м.
Вінниця, 3, Soniachna Str.e-mail: dzisvg@gmail.com)
The article describes an automated information system for the approximation of economic
indicators. Verification of models and determination of their parameters is performed automatically
without user intervention. The mathematical model is based on a linear combination of a function with
weights. At the first stage, a library of mathematical functions, a system of normal equations of the least
squares method, blocks for determining unknown parameters of mathematical dependencies and their
main statistical characteristics: correlation coefficient Y Yrˆ,, sum of squares of deviations of tabular values
of indicators from estimated by regression equation, absolute the forecast bias indicator, the average
absolute forecast error, the root mean square error, the average absolute error; average relative error in
percent; Teil’s mismatch coefficient .
At the second stage, unknown parameters for all equations are determined, the value of the
dependent variable, the value of the correlation coefficient and the average relative error are estimated
for each equation. Only those functions for which and are selected for further processing. For the selected
functions, by the values of: ,ˆ, Y Yr, SEE , ME , MAE, MSE, MPE , MAPETK, the method of expert
estimates determines the ranks of each function, evaluates the coefficient of concordance, builds a matrix
of advantages. The ranks determine the normalized weights for the composite functions of the model. At
the third stage, a mathematical model is formed, its parameters and statistical characteristics are
estimated a graph of the selection of parameters and a graph of absolute deviations are displayed. In the
case of changes in input parameters (variable values, number of indicators, etc.), the information system
automatically updates the model.
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About journal
051 Economics
071 Accounting and taxation
072 Finance, banking and insurance
073 Management
075 Marketing
076 Business, trade and exchange activities
241 Hotel, restaurant and catering
281 Public administration
The journal “Economy, finances, management: Topical issues of science and practice” is included in the "List of Scientific Professional Editions of Ukraine".
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It was founded in 1997 under the name "Bulletin of the Vinnytsia State Agricultural Institute". In 2010-2014 he was published under the title “Collection of scientific works of Vinnitsa National Agrarian University”.
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According to the decision of National Council of Television and Radio Broadcasting of Ukraine from 25.04.2024 No. 1337 the scientific journal «Economy, finances, management: topical issues of science and practical activity» has the ID of the Media R30-05171.