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dc.contributor.advisorChopra, Dharam
dc.contributor.authorWang, Lei
dc.date.accessioned2017-06-01T20:00:21Z
dc.date.available2017-06-01T20:00:21Z
dc.date.issued2017-04-28
dc.identifier.citationWang, Lei. 2017. Prediction of land market value based on the real estate market in USA--In Proceedings: 13th Annual Symposium on Graduate Research and Scholarly Projects. Wichita, KS: Wichita State University, p.95
dc.identifier.urihttp://hdl.handle.net/10057/13341
dc.descriptionPresented to the 13th Annual Symposium on Graduate Research and Scholarly Projects (GRASP) held at the Rhatigan Student Center, Wichita State University, April 28, 2017.
dc.descriptionResearch completed in the Department of Mathematics, Statistics and Physics, Fairmount College of Liberal Arts and Sciences
dc.description.abstractThe Land Market Value, defined as the total value of land and quantity data are derived from data on housing values, is an important factor in the estimation of structure costs using price indexes for housing and construction costs. In this paper, we gathered and analyzed 34 years' national data on past and present real estate transaction. According to the characteristics of raw data, we tried to develop the potential Decomposition, Smoothing, ARIMA and other advanced forecasting models with appropriate transformations. Specifically, we employed an innovation space state underlying certain forecasting model. For regression analysis, we involved GDP, CPI, Construction Cost Index, population, unemployment rate, inflation rate and Purchasing Manage Index in multivariate statistical model. Most importantly, we obtained how to add value to business and apply skills set to real estate in a real world environment. The goal in providing crucial statistical method is to enable government and investors to make informed decisions regarding real estate.
dc.description.sponsorshipGraduate School, Academic Affairs, University Libraries, Regional Institute on Aging
dc.language.isoen_US
dc.publisherWichita State University
dc.relation.ispartofseriesGRASP
dc.relation.ispartofseriesv. 13
dc.titlePrediction of land market value based on the real estate market in USA
dc.typeAbstract
dc.rights.holderWichita State University


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