Application of ARIMA Models in Real Estate Market Forecasting

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dc.contributor.authorDejniak, Dorota
dc.contributor.authorDąbrowski, Janusz
dc.contributor.organizationBronisław Markiewicz State Higher School of Technology and Economics in Jarosławen
dc.date.accessioned2017-12-04T09:59:42Z
dc.date.available2017-12-04T09:59:42Z
dc.date.issued2017
dc.description.abstractForecasts for the real estate market, a key factor to reliably determine the most probable market value of property in the estimation process. The article presents the methodology of ARIMA models’ construction and their use for forecasting univariate time series. There have been described the steps to create a model for the example data on price per square meter of office space. The data acquired as part of the EU project, which studied in detail the real estate market and its broad environment in Jarosław in the years 2000-2013.en
dc.description.sponsorshipThe Bronisław Markiewicz State Higher School of Technology and Economics in Jarosław
dc.identifier.urihttps://open.icm.edu.pl/handle/123456789/13421
dc.language.isoen
dc.publisherGIS Forumen
dc.rightsDozwolony użytek*
dc.subjectreal estate market analysisen
dc.subjecttime seriesen
dc.subjectARIMA modelsen
dc.titleApplication of ARIMA Models in Real Estate Market Forecastingen
dc.typeconferencePaperen
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