Abstract

The article analyzes the Volterra approach to describe the competition of interacting populations. They developed the competition model for interacting entities on the trophic resource. Using the statistical approach, they offer the probabilistic model to estimate competition indicators. The level of economic entity competition was analyzed for market concentration coefficient and the Herfindahl-Hirschman index, depending on the number of subjects and the heterogeneity of the subject quantitative characteristics.

Original languageEnglish
Pages (from-to)689-697
Number of pages9
JournalJournal of Advanced Research in Dynamical and Control Systems
Volume11
Issue number8 Special Issue
Publication statusPublished - 1 Jan 2019

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Economics
Statistical Models

Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

Cite this

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title = "Mathematical modeling of competition indicators",
abstract = "The article analyzes the Volterra approach to describe the competition of interacting populations. They developed the competition model for interacting entities on the trophic resource. Using the statistical approach, they offer the probabilistic model to estimate competition indicators. The level of economic entity competition was analyzed for market concentration coefficient and the Herfindahl-Hirschman index, depending on the number of subjects and the heterogeneity of the subject quantitative characteristics.",
keywords = "Competition, Economy, Herfindahl-hirschman index, Mathematical modeling, Population",
author = "Kolpak, {Eugeny P.} and Gorynya, {Ekaterina V.} and Kabrits, {Sergey A.}",
year = "2019",
month = "1",
day = "1",
language = "English",
volume = "11",
pages = "689--697",
journal = "Journal of Advanced Research in Dynamical and Control Systems",
issn = "1943-023X",
publisher = "Institute of Advanced Scientific Research",
number = "8 Special Issue",

}

Mathematical modeling of competition indicators. / Kolpak, Eugeny P.; Gorynya, Ekaterina V.; Kabrits, Sergey A.

In: Journal of Advanced Research in Dynamical and Control Systems, Vol. 11, No. 8 Special Issue, 01.01.2019, p. 689-697.

Research output

TY - JOUR

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AU - Kolpak, Eugeny P.

AU - Gorynya, Ekaterina V.

AU - Kabrits, Sergey A.

PY - 2019/1/1

Y1 - 2019/1/1

N2 - The article analyzes the Volterra approach to describe the competition of interacting populations. They developed the competition model for interacting entities on the trophic resource. Using the statistical approach, they offer the probabilistic model to estimate competition indicators. The level of economic entity competition was analyzed for market concentration coefficient and the Herfindahl-Hirschman index, depending on the number of subjects and the heterogeneity of the subject quantitative characteristics.

AB - The article analyzes the Volterra approach to describe the competition of interacting populations. They developed the competition model for interacting entities on the trophic resource. Using the statistical approach, they offer the probabilistic model to estimate competition indicators. The level of economic entity competition was analyzed for market concentration coefficient and the Herfindahl-Hirschman index, depending on the number of subjects and the heterogeneity of the subject quantitative characteristics.

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KW - Economy

KW - Herfindahl-hirschman index

KW - Mathematical modeling

KW - Population

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JO - Journal of Advanced Research in Dynamical and Control Systems

JF - Journal of Advanced Research in Dynamical and Control Systems

SN - 1943-023X

IS - 8 Special Issue

ER -