dc.creatorLiliya F. Garifova, Ekaterina A. Grigoreva, Elvira A. Polovkina,
dc.date2019-12-19
dc.date.accessioned2022-11-05T02:23:37Z
dc.date.available2022-11-05T02:23:37Z
dc.identifierhttps://produccioncientificaluz.org/index.php/opcion/article/view/30382
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5141126
dc.descriptionIn 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.es-ES
dc.formatapplication/pdf
dc.languagespa
dc.publisherUniversidad del Zuliaes-ES
dc.relationhttps://produccioncientificaluz.org/index.php/opcion/article/view/30382/31432
dc.rightsDerechos de autor 2019 Opciónes-ES
dc.sourceOpción; Vol. 34 Núm. 86-2 (2018)es-ES
dc.source2477-9385
dc.source1012-1587
dc.subjectDynamic Modelses-ES
dc.subjectCorrelationes-ES
dc.subjectTime Series.es-ES
dc.titleForecasting of consumer demand with the use of multi-factor dynamic modelses-ES
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typeArtículo revisado por pareses-ES


Este ítem pertenece a la siguiente institución