KFU. Card publication. Forecasting of consumer demand with the use of multi-factor dynamic models [PronÓÃstico de la demanda del consumidor con el uso de modelos dinÓ¨micos multifactoriales]

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FORECASTING OF CONSUMER DEMAND WITH THE USE OF MULTI-FACTOR DYNAMIC MODELS [PRONÓÃSTICO DE LA DEMANDA DEL CONSUMIDOR CON EL USO DE MODELOS DINÓ¨MICOS MULTIFACTORIALES]

Form of presentation

Articles in international journals and collections

Year of publication

2018

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Authors, employees of KFU

Garifova Liliya Fuatovna, author

Grigoreva Ekaterina Anatolevna, author

Polovkina Elvira Anasovna, author

Bibliographic description in the original language

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

Annotation

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.

Keywords

dynamic models, correlation, time series

The name of the journal

Opcion

URL

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

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=230678&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Garifova Liliya Fuatovna	ru_RU
dc.contributor.author	Grigoreva Ekaterina Anatolevna	ru_RU
dc.contributor.author	Polovkina Elvira Anasovna	ru_RU
dc.contributor.author	Polovkina Elvira Anasovna	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 [PronÓÃstico de la demanda del consumidor con el uso de modelos dinÓ¨micos multifactoriales] // Opcion. - 2018. - Vol. 34, Is. 86. - P. 188-198.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=230678&p_lang=2	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	dynamic models	ru_RU
dc.subject	correlation	ru_RU
dc.subject	time series	ru_RU
dc.title	Forecasting of consumer demand with the use of multi-factor dynamic models [PronÓÃstico de la demanda del consumidor con el uso de modelos dinÓ¨micos multifactoriales]	ru_RU
dc.type	Articles in international journals and collections	ru_RU