{"title":"MODELING THE PROMOTION OF NEW GOODS AND SERVICES ON THE MARKET BASED ON MARKOV RANDOM PROCESSES","authors":"Аркадий Кустов, С.И. Моисеев, Л.В. Степанов","doi":"10.36622/vstu.2022.89.3.005","DOIUrl":null,"url":null,"abstract":"Разработана математическая модель, позволяющая прогнозировать поток потребителей нового блага в условиях рыночной экономики. Модель базируется на теории марковских случайных процессов и позволяет оценить доли контингента потребителей блага. Приведено аналитическое решение для построенной модели .\n A mathematical model has been developed that makes it possible to predict the flow of consumers of a new good in a market economy. The model is based on the theory of Markov random processes and makes it possible to estimate the shares of the contingent of consumers of the good. An analytical solution for the constructed model is given.","PeriodicalId":331043,"journal":{"name":"СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36622/vstu.2022.89.3.005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Разработана математическая модель, позволяющая прогнозировать поток потребителей нового блага в условиях рыночной экономики. Модель базируется на теории марковских случайных процессов и позволяет оценить доли контингента потребителей блага. Приведено аналитическое решение для построенной модели .
A mathematical model has been developed that makes it possible to predict the flow of consumers of a new good in a market economy. The model is based on the theory of Markov random processes and makes it possible to estimate the shares of the contingent of consumers of the good. An analytical solution for the constructed model is given.