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2021 | vol. 29, iss. 1 | 87--97
Tytuł artykułu

The Influence of Chosen Statistical Methods of Detecting Outliers on Property Valuation Result

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The subject of the thesis concerns the application of selected statistical methods searching for outliers in the process of determining the value of real estate, based on a functional model adjusted to market data. The collected research material consisted of data on land properties, which were the subject of transactions on local markets, for which there was no information regarding the specific conditions of concluding the sale agreement. After the initial selection of data regarding the purpose of the property in the local plan, the type of property rights being sold and the size of the shares sold - a functional model was adjusted to the obtained data, showing the relationship between the price being the dependent variable and the features of the property being the independent variables. Then, two statistical methods of searching for outliers which are significantly different in their algorithms, i.e. Cook's distance and robust estimation method called Pope's method, were applied to each model. The last stage was to determine the model values of selected properties and to compare the obtained results with the known transaction prices of the parcels being the subject of the valuation. The conducted research allowed for the verification of the influence of significantly different statistical methods searching for outliers on the property valuation result and its accuracy. (original abstract)
Rocznik
Strony
87--97
Opis fizyczny
Twórcy
  • AGH University of Science and Technology Kraków, Poland
  • AGH University of Science and Technology Kraków, Poland
Bibliografia
  • Barańska, A. (2007). Two-Stage Model for Estimating Real Estates. Real Estate Management and Valuation, 15(3-4), 187-196.
  • Barańska, A. (2008) Criteria of using of stochastic models in prediction of real estate market value, Application of statistical methods in scientific research, Statsoft, online access https://media.statsoft.pl/_old_dnn/downloads/kryteria_stosowania_modeli.pdf
  • Barańska, A. (2010). Multiplicative models in real estate assessment process. Real Estate Management and Valuation, 18(1), 65-81.
  • Barańska, A., & Michalik, S. (2014). Variants of modeling dwelling market value. Real Estate Management and Valuation, 22(3), 28-35. https://doi.org/10.2478/remav-2014-0024
  • Barańska, A., Nowak, D. (2015). Function modelling of the market and assessing the degree of similarity between real properties - dependent or independent procedures in the process of office property valuation, Real Estate Management and Valuation, 23(3).
  • Barańska, A. (2016). The significance of database in modelling the market of non - residential premises. Real Estate Management and Valuation, 24(2), 47-56. https://doi.org/10.1515/remav-2016- 0013
  • Barros, M., Galea, M., Gonzáles, M., & Leiva, V. (2010). Influence diagnostics in the tobit censored response model. Statistical Methods & Applications, 19(3), 379-397. https://doi.org/10.1007/s10260- 010-0135-y
  • Cook R., Weisberg S., 1982. Residuals and Influence in Regression. Chapman&Hall, Nowy Jork.
  • Pope, A. J. (1976), The statistics of residuals and the detection of outliers. NOAA Technical Report. NOS 65 NGS 1, U.S. Dept. of Commerce, Rockville, Md., 1976.
  • Czaja, J., & Ligas, M. (2010). Advanced statistical analysis for real estate market research. Real Estate Management and Valuation, 18(1), 7-19.
  • Czekaj, T. (2006). Outliers and Influential Observations in Regression Analysis - Analysis of Profitability of Material Factors of Production in Farms. Annals of the Polish Association of Agricultural and Agribusiness Economists, (5), 11-15.
  • Czechowski, P., Badyda, A., & Majewski, G. (2013). Data Mining System For Air Quality Monitoring Networks. Archives of Environmental Protection, 39(4), 123-147. Advance online publication. https://doi.org/10.2478/aep-2013-0041
  • Hildago, J. A., Perez Suay, A., Nar, F., & Campus-Valls, G. (2018). Nonlinear Cook Distance for Anomalous Change Detection, Conference Paper, International Geoscience and Remote Sensing Symposium (IGARSS), Valencia 2018.
  • Hormann, S., Pfeiler, B., & Stadlober, E. (2005). Analysis and Prediction of Particulate Matter PM10 for the Winter Season in Graz. The Australian Journal of Statistics, 34(4), 307-326.
  • Kamiński, W., & Nowel, K. (1992). Analysis of Chosen Robust Methods of Geodetic Observation Adjustment. Geodesy and Cartography, 3-4(41), 183-195.
  • Kokot, S. (2011). A statistical method for market analysis in theory and practice real estate valuation : Introduction to discussion on the future professional standards. [Przegląd geodezyjny]. Survey Review, 83(3), 3-8.
  • Kokot, S., & Gnat, S. (2019). Simulative verification of the possibility of using multiple regression models for the real estate appraisal. Real Estate Management and Valuation, 27(3), 109-123. https://doi.org/10.2478/remav-2019-0029
  • Konowalczuk J. (2018). Comparison in Statistical Market Analysis Method Used for Real Estate Valuation in Poland, Cracow Review of Economics and Management, issue 3(975), pp. 125-143.
  • Koronacki, J., & Mielniczuk, J. (2001). Statistics for Student of Technical and Natural Sciences. Scientific and Publishing House.
  • Prószyński, W., & Kwaśniak, M. (2002). Reliability of Geodetic Networks. Warsaw Polytechnic Publishing House.
  • Sawiłow, E. (2010). The Problems of Qualifying the Value of Real Estate with the Method of the Statistical Analysis of the Market. Real Estate Management and Valuation, 18(1), 21-31.
  • Śpiewak B. (2018). Application of Passive Methods of Robust Estimation: Baarda and Pope's in Real Estate Market Analysis. Real Estate Management and Valuation, 26(1), 05-15.
  • Trzęsiok J. (2015). Robustness for Outliers of Selected Nonparametric Regression Models, Economic Studies. Scientific Journals of the University of Economics in Katowice [Studia Ekonomiczne. Zeszyty Naukowe Uniwersytetu Ekonomicznego w Katowicach]. No.27, pp. 75-84.
  • Zyga, J. 2014, Practical assessment of the admissibility of using the method of statistical analysis of the market in the valuation of real estate [Praktyczna ocena dopuszczalności zastosowania metody analizy statystycznej rynku w wycenie nieruchomości], Market analysis and property management, scientific monograph [Analiza rynku i zarządzanie nieruchomościami, monografia naukowa], Polish Real Estate Scientific Society, Olsztyn. p. 41-57.
  • Zhao, J., Leng, C., Li, L., & Wang, H. (2013). High - Dimensional Influence Measure. Annals of Statistics, 41(5), 2639-2667. https://doi.org/10.1214/13-AOS1165
  • Zhu, H., Ibrahim, J. G., & Cho, H. (2012). Perturbation and Scaled Cook's Distance. Annals of Statistics, 40(2), 785-811. https://doi.org/10.1214/12-AOS978 PMID:23152646
Typ dokumentu
Bibliografia
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Identyfikator YADDA
bwmeta1.element.ekon-element-000171622642

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