| Modeling Real Estate Data Contributor(s): Brunauer Wolfgang a. (Author) |
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ISBN: 3838126971 ISBN-13: 9783838126975 Publisher: Sudwestdeutscher Verlag Fur Hochschulschrifte OUR PRICE: $71.72 Product Type: Paperback Language: German Published: July 2011 |
| Additional Information |
| BISAC Categories: - Law | Estates & Trusts |
| Physical Information: 0.29" H x 6" W x 9" (0.42 lbs) 124 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: The statistical analysis of real estate data has received increasingly more attention during the last decade. Property owners, investors and banks are looking for cost-effective and reliable means to assess the value of single properties or even property portfolios. Additionally, building operating charges have turned out to be a major determinant of profitability of real estate investment, and the Europe-wide introduction of the energy certification for buildings in 2002 enhances the importance of accurate assessment of the energy efficiency of buildings even more. The main purpose of this thesis is to apply approaches that address nonlinearity and spatial or cluster-specific heterogeneity simultaneously on real estate price and cost data. A particularly broad and rich framework for semiparametric modeling is provided by structured additive regression (STAR) models. In STAR-models, continuous covariates are modeled as P(enalized)-splines. Furthermore, possibly correlated discrete random effects for spatial indexes, functions of two dimensional surfaces and (spatially) varying coefficient terms may also be estimated using this methodology. |
