The Analysis of Economic Indicators Based on the Information Model of N. Wiener

Author:

Dulesov A S,Karandeev D J,Eremeeva O S,Krasnova T G

Abstract

Abstract 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.

Publisher

IOP Publishing

Subject

General Medicine

Reference30 articles.

1. Evolutionary Economics in the 21st Century: A Manifext;Yoshinori;Evolutionary and Institutional Economics Review,2004

2. Entropy economic and global innovation hypercompetition;Dyatlov;Economics of education,2013

3. Information, order and knowledge in economic and ecological systems: implications for material and energy use;Ruth;Ecological Economics,1995

4. A contribution to the theory of economic growth;Solow;Quarterly Journal of Economics,1956

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3