Kazan (Volga region) Federal University, KFU
KAZAN
FEDERAL UNIVERSITY
 
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]««
Form of presentationArticles in international journals and collections
Year of publication2018
Языканглийский
  • 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 [Pron?stico de la demanda del consumidor con el uso de modelos din?micos 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 correlation, dynamic models, 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=237811&p_lang=2

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