<abstract xmlns="http://www.w3.org/1999/xhtml"><p> The research process aimed at building regression models, which helps to valuate residential real estate, is presented in the following article. Two widely used computational tools i.e. the classical multiple regression and regression models of artificial neural networks were used in order to build models. An attempt to define the utilitarian usefulness of the above-mentioned tools and comparative analysis of them is the aim of the conducted research. Data used for conducting analyses refers to the secondary transactional residential real estate market.</p></abstract>

The research process aimed at building regression models, which helps to valuate residential real estate, is presented in the following article. Two widely used computational tools i.e. the classical multiple regression and regression models of artificial neural networks were used in order to build models. An attempt to define the utilitarian usefulness of the above-mentioned tools and comparative analysis of them is the aim of the conducted research. Data used for conducting analyses refers to the secondary transactional residential real estate market.

The Application of Classical and Neural Regression Models for the Valuation of Residential Real Estate

Folia Oeconomica Stetinensia

This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International Public License.

The research process aimed at building regression models, which helps to valuate residential real estate, is presented in the following article. Two widely...

The Application of Classical and Neural Regression Models for the Valuation of Residential Real Estate

Publié en ligne: 16 juin 2017

Pages: 44 - 56

Reçu: 06 nov. 2016

Accepté: 22 mars 2017

DOI: https://doi.org/10.1515/foli-2017-0004

Mots clés
real estate, residential property, multiple regression, neural regression, valuation

© University of Szczecin

This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International Public License.

The Application of Classical and Neural Regression Models for the Valuation of Residential Real Estate

Publié en ligne: 16 juin 2017

Pages: 44 - 56

Reçu: 06 nov. 2016

Accepté: 22 mars 2017

DOI: https://doi.org/10.1515/foli-2017-0004

Mots clésreal estate, residential property, multiple regression, neural regression, valuation

© University of Szczecin

This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International Public License.

Mots clés
real estate, residential property, multiple regression, neural regression, valuation