Have a personal or library account? Click to login
The Influence of Chosen Statistical Methods of Detecting Outliers on Property Valuation Result Cover

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

Open Access
|Mar 2021

References

  1. Barańska, A. (2007). Two-Stage Model for Estimating Real Estates. Real Estate Management and Valuation, 15(3-4), 187–196.
  2. 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
  3. Barańska, A. (2010). Multiplicative models in real estate assessment process. Real Estate Management and Valuation, 18(1), 65–81.
  4. 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-2014-002410.2478/remav-2014-0024
  5. 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).10.1515/remav-2015-0023
  6. 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-2016-001310.1515/remav-2016-0013
  7. 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-y10.1007/s10260-010-0135-y
  8. Cook R., Weisberg S., 1982. Residuals and Influence in Regression. Chapman&Hall, Nowy Jork.
  9. 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.
  10. Czaja, J., & Ligas, M. (2010). Advanced statistical analysis for real estate market research. Real Estate Management and Valuation, 18(1), 7–19.
  11. 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.
  12. 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-2013-004110.2478/aep-2013-0041
  13. 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 2018.10.1109/IGARSS.2018.8517369
  14. 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.
  15. Kamiński, W., & Nowel, K. (1992). Analysis of Chosen Robust Methods of Geodetic Observation Adjustment. Geodesy and Cartography, 3-4(41), 183–195.
  16. 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.
  17. 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-2019-002910.2478/remav-2019-0029
  18. 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.
  19. Koronacki, J., & Mielniczuk, J. (2001). Statistics for Student of Technical and Natural Sciences. Scientific and Publishing House.
  20. Prószyński, W., & Kwaśniak, M. (2002). Reliability of Geodetic Networks. Warsaw Polytechnic Publishing House.
  21. 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.
  22. 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), 05-15.10.2478/remav-2018-0001
  23. 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.
  24. 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.
  25. 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-AOS116510.1214/13-AOS1165
  26. 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:2315264610.1214/12-AOS978
Language: English
Page range: 87 - 97
Published on: Mar 13, 2021
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2021 Anna Barańska, Beata Śpiewak, published by Real Estate Management and Valuation
This work is licensed under the Creative Commons Attribution 4.0 License.