Open Access

The Use of Statistical Methods for Determining Attribute Weights and the Influence of Attributes on Property Value


Cite

Armstrong, R. A. (2019). Should Pearson’s correlation coefficient be avoided? Ophthalmic and Physiological Optics I, 39, 316–327. https://doi.org/10.1111/opo.12636 PMID:3142362410.1111/opo.12636Search in Google Scholar

Babatunde, I. O. (2018). Examining Heuristics for Building – Work-In-Progress Valuations in Niger State Nigeria. Real Estate Management and Valuation, 26(2), 92–103. https://doi.org/10.2478/remav-2018-001910.2478/remav-2018-0019Search in Google Scholar

Barańska, A. M. (2019a). Correlation Analysis in the Process Of Weighting Real Property Attributes. Real Estate Management and Valuation, 27(4), 74–84. https://doi.org/10.2478/remav-2019-003710.2478/remav-2019-0037Search in Google Scholar

Barańska, A. M. (2019b). Linear and Nonlinear Weighing of Property Features. Real Estate Management and Valuation, 27(1), 59–68. https://doi.org/10.2478/remav-2019-000610.2478/remav-2019-0006Search in Google Scholar

Dmytrów, K., Gdakowicz, A., & Putek-Szeląg, E. (2019). Statistical Relations of the Qualitative Attributes of Real Properties Subject oo Mass Appraisal. Folia Oeconomica Stetinensia, 19(2), 25–37. https://doi.org/10.2478/foli-2019-001110.2478/foli-2019-0011Search in Google Scholar

Doszyń, M. (2017). Statistical Determination of Impact of Property Attributes for Weak Measurement Scales. Real Estate Management and Valuation, 25(4), 75–84. https://doi.org/10.1515/remav-2017-003110.1515/remav-2017-0031Search in Google Scholar

Doszyń, M. (2019). Individual Capacities of Hellwig’s Information Carriers and the Impact of Attributes in the Szczecin Algorithm of Real Estate Mass Appraisal. Real Estate Management and Valuation, 27(1), 15–24. https://doi.org/10.2478/remav-2019-000210.2478/remav-2019-0002Search in Google Scholar

Gaca, R., & Sawiłow, E. (2014). Zastosowanie współczynników korelacji rang Spearmana do ustalenia wag cech rynkowych nieruchomości, Rzeczoznawca Majątkowy, nr 82, pp. 24-30 (Application of Spearman’s rank correlation coefficient for establishing ranks of real estate characteristics. Real Estate Appraiser, (82), 24–30.Search in Google Scholar

Goodman, L. A., & Kruskal, W. H. (1963). Measures of association for cross classification. III: Approximate sampling theory. Journal of the American Statistical Association, 58, 310–364. https://doi.org/10.1080/01621459.1963.1050085010.1080/01621459.1963.10500850Search in Google Scholar

Gaca, R. (2018). Parametric and Non-Parametric Statistical Methods in the Assessment of the Effect of Property Attributes on Prices. Real Estate Management and Valuation, 26(2), 83–91. https://doi.org/10.2478/remav-2018-001810.2478/remav-2018-0018Search in Google Scholar

Foryś, I., & Gaca, R. (2016). Application of the Likert and Osgood Scales to Quantify the Qualitative Features of Real Estate Properties. Folia Oeconomica Stetinensia, 16(2), 7–16. https://doi.org/10.1515/foli-2016-002110.1515/foli-2016-0021Search in Google Scholar

Foryś, I., & Gdakowicz, A. (2004). Wykorzystanie metod ilościowych do badania rynku nieruchomości (The application of quantitative methods for real estate market analysis). Studia i Materiały Towarzystwa Naukowego Nieruchomości, 12(1).Search in Google Scholar

Hozer, J., Foryś, I., Zwolankowska, M., Kokot, S., & Kuźmiński, W. (1999). Ekonometryczny algorytm masowej wyceny nieruchomości gruntowych (An Econometric Algorithm for Land Mass Appraisal). Katedra Ekonometrii i Statystyki Uniwersytetu Szczecińskiego, Stowarzyszenie Pomoc i Rozwój.Search in Google Scholar

Hozer, J., Gnat, S., Kokot, S., & Kuźmiński, W. (2019). The Problem of Designating Elementary Terrains for the Purpose of Szczecin Algorithm of Real Estate Mass Appraisal. Real Estate Management and Valuation, 27(3), 42–58. https://doi.org/10.2478/remav-2019-002410.2478/remav-2019-0024Search in Google Scholar

Kendall, M. G. (1948). Rank Correlation Methods. Charles Griffin & Company Limited.Search in Google Scholar

Parker, R. I., Vannest, K. J., Davis, J. L., & Sauber, S. B. (2011). Combining nonoverlap and trend for single-case research: Tau-U. Behavior Therapy, 42(2), 284–299. https://doi.org/10.1016/j.beth.2010.08.006 PMID:2149651310.1016/j.beth.2010.08.006Search in Google Scholar

Powszechne Krajowe Zasady Wyceny. (2008). Nota Interpretacyjna, Zastosowanie podejścia porównawczego w wycenie nieruchomości (Common National Valuation Rules, Interpretative Note, Application of the Comparative Approach to Property Valuation), Polska Federacja Stowarzyszeń Rzeczoznawców Majątkowych. http://wycena.net.pl/standardy/NIZastosowanie.podejscia.porownawczego.pdf.Search in Google Scholar

Siegel, S., & Castellan, N. J., Jr. (1988). Nonparametrics statistics for the behavioral sciences (2nd ed.). McGraw-Hill.Search in Google Scholar

Doszyń, M. (Ed.). (2020). System kalibracji macierzy wpływu atrybutów w szczecińskim algorytmie masowej wyceny nieruchomości (Calibration system of attribute impact matrix in Szczecin algorithm of real estate mass appraisal). Wydawnictwo Naukowe Uniwersytetu Szczecińskiego.Search in Google Scholar

Walesiak, M. (2016). Uogólniona miara odległości GDM w statystycznej analizie wielowymiarowej z wykorzystaniem programu R. Wydanie drugie poprawione i rozszerzone (A General Dissimilarity Measure in Multi-variate Statistical Analysis with Application of R Program. Second revised and extended edition). Wydawnictwo Uniwersytetu Ekonomicznego.Search in Google Scholar

eISSN:
2300-5289
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Business and Economics, Political Economics, other