Regression model for car valuation based on internet data parsing
https://doi.org/10.21122/2309-4923-2020-2-4-9
Abstract
The results of econometric modeling of market value are described on the example of class B cars based on the collection of information from a popular website using a parser program. The resulting model in the form of two statistically significant regression equations is intended for use in the valuation practice.
About the Authors
N. Yu. Trifonov
Belarus State Economic University
Belarus
Trifonov Nikolai Yurievich – PhD (Phys.-Math.), Docent, Honorary Appraiser of the Republic of Kazakhstan, Associate Professor of Belarus State Economic University, Chairman of the Belarusian Society of Valuers.
Belarus
Trifonov Nikolai Yurievich – PhD (Phys.-Math.), Docent, Honorary Appraiser of the Republic of Kazakhstan, Associate Professor of Belarus State Economic University, Chairman of the Belarusian Society of Valuers.
V. A. Livinskaya
Belarusian-Russian University
Belarus
Livinskaya Victoriya Аlexandrovna – PhD (Phys.-Math.), Docent.
Belarus
Livinskaya Victoriya Аlexandrovna – PhD (Phys.-Math.), Docent.
V. V. Korzhukov
Belarusian-Russian University
Belarus
Korzhukov Vladimir Vitalievich – Junior Software Test Automation Engineer at EPAM Systems, undergraduate in «System Analysis and Information Processing Management».
Belarus
Korzhukov Vladimir Vitalievich – Junior Software Test Automation Engineer at EPAM Systems, undergraduate in «System Analysis and Information Processing Management».
References
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Review
For citations:
Trifonov N.Yu., Livinskaya V.A., Korzhukov V.V. Regression model for car valuation based on internet data parsing. «System analysis and applied information science». 2020;(2):4-9. (In Russ.) https://doi.org/10.21122/2309-4923-2020-2-4-9
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