Open AccessThe Analysis of Economic Indicators Based on the Information Model of N. Wiener
Author(s) -
А. С. Дулесов,
D. J. Karandeev,
Olga Eremeeva,
Tatyana Krasnova
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/753/5/052053
Subject(s) - entropy (arrow of time) , probabilistic logic , statistical model , mathematical model , principle of maximum entropy , econometrics , mathematics , economic model , information theory , computer science , statistics , economics , physics , quantum mechanics , macroeconomics
Mathematical models for determining the amount of entropy for analysis of future economic indicators are considered. Possibilities of application of mathematical models for the purposes of accounting in need of reflection of estimated values of future indicators in public reports of the companies are determined. The models are based on the information model of N. Wiener. The role of information uncertainty in the analysis problem is proved and the applicability of some approaches to uncertainty assessment of indicators is considered. The probabilistic-statistical approach, which most fully corresponds to the possibilities of using the Wiener’s information model, is highlighted among the approaches. On its basis the description model and mathematical expressions of determination of size of private entropy of an economic system object are constructed. The mathematical model of description the entropy of indicators of the economic system is constructed and its component is a model of private entropy. The created mathematical model allows to determine the amount of entropy for one and two variables, taking into account the correlation between them. The model is useful for assessing the state of the economic system at selected time intervals.