КФУ. Карточка публикации. Forecasting of consumer demand with the use of multi-factor dynamic models [Pron?stico de la demanda del consumidor con el uso de modelos din?micos multifactoriales]

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FORECASTING OF CONSUMER DEMAND WITH THE USE OF MULTI-FACTOR DYNAMIC MODELS [PRON?STICO DE LA DEMANDA DEL CONSUMIDOR CON EL USO DE MODELOS DIN?MICOS MULTIFACTORIALES]

Форма представления

Статьи в зарубежных журналах и сборниках

Год публикации

2018

Язык

английский

Авторы, сотрудники КФУ

Гарифова Лилия Фуатовна, автор

Григорьева Екатерина Анатольевна, автор

Половкина Эльвира Анасовна, автор

Библиографическое описание на языке оригинала

Garifova L.F, Grigoreva E.A, Polovkina E.A. Forecasting of consumer demand with the use of multi-factor dynamic models [Pron?stico de la demanda del consumidor con el uso de modelos din?micos multifactoriales] // Opcion. - 2018. - Vol. 34, Is. 86. - P. 188-198.

Аннотация

In this paper, it is proposed to use a multifactor nonlinear dynamic model to predict consumer demand. For this purpose, a method of varying differences is proposed in order to reduce the autocorrelation of time series. According to the multifactor dynamic model of consumer demand, the authors have proposed a model for forecasting the demand for goods depending on the given values of the total turnover, price indices and the influence of other factors on the formation of consumer demand of the population. The character of dependencies and nonlinear trends was studied, what has allowed qualitative models to obtain.

Ключевые слова

correlation, dynamic models, time series

Название журнала

Opcion

URL

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059520276&partnerID=40&md5=e887c45798be164e37d1b6062af5835a

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https://repository.kpfu.ru/?p_id=194054

Полная запись метаданных

Поле DC	Значение	Язык
dc.contributor.author	Гарифова Лилия Фуатовна	ru_RU
dc.contributor.author	Григорьева Екатерина Анатольевна	ru_RU
dc.contributor.author	Половкина Эльвира Анасовна	ru_RU
dc.date.accessioned	2018-01-01T00:00:00Z	ru_RU
dc.date.available	2018-01-01T00:00:00Z	ru_RU
dc.date.issued	2018	ru_RU
dc.identifier.citation	Garifova L.F, Grigoreva E.A, Polovkina E.A. Forecasting of consumer demand with the use of multi-factor dynamic models [Pron?stico de la demanda del consumidor con el uso de modelos din?micos multifactoriales] // Opcion. - 2018. - Vol. 34, Is. 86. - P. 188-198.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/?p_id=194054	ru_RU
dc.description.abstract	Opcion	ru_RU
dc.description.abstract	In this paper, it is proposed to use a multifactor nonlinear dynamic model to predict consumer demand. For this purpose, a method of varying differences is proposed in order to reduce the autocorrelation of time series. According to the multifactor dynamic model of consumer demand, the authors have proposed a model for forecasting the demand for goods depending on the given values of the total turnover, price indices and the influence of other factors on the formation of consumer demand of the population. The character of dependencies and nonlinear trends was studied, what has allowed qualitative models to obtain.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	correlation	ru_RU
dc.subject	dynamic models	ru_RU
dc.subject	time series	ru_RU
dc.title	Forecasting of consumer demand with the use of multi-factor dynamic models [Pron?stico de la demanda del consumidor con el uso de modelos din?micos multifactoriales]	ru_RU
dc.type	Статьи в зарубежных журналах и сборниках	ru_RU