Abstract

Theoretical and practical approaches to the use of statistical methods for studying various properties of infrastructure objects are analyzed in the paper. Methods of forecasting the value of objects are considered. A method for coding categorical variables describing properties of real estate objects is proposed. The analysis of the results of modeling the price of real estate objects using regression analysis and an algorithm based on a comparative approach is carried out.

Details

Title
Categorical data processing for real estate objects valuation using statistical analysis
Author
Parygin, D S 1 ; Malikov, V P 1 ; Golubev, A V 1 ; Sadovnikova, N P 1 ; Petrova, T M 2 ; Finogeev, A G 3 

 Volgograd State Technical University, 28, Lenina Ave., Volgograd, 400131, Russia 
 Volgograd State Socio-Pedagogical University, 28, Lenina Ave., Volgograd, 400066, Russia 
 Penza State University, 40, Krasnaya Str., Penza, 440026, Russia 
Publication year
2018
Publication date
May 2018
Publisher
IOP Publishing
ISSN
17426588
e-ISSN
17426596
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2572245912
Copyright
© 2018. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.