Please use this identifier to cite or link to this item: http://ds.knu.edu.ua/jspui/handle/123456789/3700
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dc.contributor.authorChernenko, V P-
dc.contributor.authorPochtovyuk, S I-
dc.contributor.authorVakaliuk, T A-
dc.contributor.authorShevchuk, L D-
dc.contributor.authorSlon, Ya V-
dc.date.accessioned2021-09-26T12:44:10Z-
dc.date.available2021-09-26T12:44:10Z-
dc.date.issued2021-03-19-
dc.identifier.citationChernenko V. P. Information system of economic and mathematical modelling of pricing in the residential sector of Ukraine / V P Chernenko, S I Pochtovyuk, T A Vakaliuk, L D Shevchuk, Ya V Slon // Journal of Physics: Conference Series. - 2021. - Vol. 1840. - Article 012025. - DOI : https://doi.org/10.1088/1742-6596/1840/1/012025uk_UA
dc.identifier.issn1742-6596-
dc.identifier.urihttp://ds.knu.edu.ua/jspui/handle/123456789/3700-
dc.description.abstractThe article deals with the development of a web application on forecasting the dynamics of prices in the residential sector of Ukraine. The classification of economic forecasting methods according to which they are divided into formalized, extrapolated, intuitive methods of forecasting the financial state is presented. It has been established that forecasting methods should meet the following requirements: a combination of subjective value and objective significance of estimates; clear application of estimates, which does not allow different interpretations regarding the choice of methods; create the ability to accumulate statistical information and use it for forecasting. The model of standard square collocation for the real estate market is presented. A web-based application for forecasting the dynamics of prices in the Ukrainian housing sector was developed and tested.uk_UA
dc.language.isoenuk_UA
dc.publisherIOP Publishinguk_UA
dc.titleInformation system of economic and mathematical modelling of pricing in the residential sector of Ukraineuk_UA
dc.typeArticleuk_UA
dc.identifier.doihttps://doi.org/10.1088/1742-6596/1840/1/012025-
local.submitter.emailsemerikov@ccjourn...uk_UA
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