Wang Heyong
College of E-Business, South China University of Technology, Guangzhou, China
Hong Ming
College of E-Business, South China University of Technology, Guangzhou, China
ABSTRACT
Hedonic price model and multiple regression analysis are the commonly used methods in the study of residential price. It affects the accuracy of the residential hedonic price multivariate linear regression model that the distributions of residential characteristic variables do not meet the normal distribution. According to the problem, this paper presents the approximative normalization. Through empirical model, approximative normalization improves the residential hedonic price multivariate linear regression model in the aspect of the accuracy to predict reality and empirical data are used to confirm its effectiveness.
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How to cite this article
Wang Heyong and Hong Ming, 2013. Residential Hedonic Price Multivariate Linear Regression Model Based on Approximative
Normalization. Information Technology Journal, 12: 7427-7434.
DOI: 10.3923/itj.2013.7427.7434
URL: https://scialert.net/abstract/?doi=itj.2013.7427.7434
DOI: 10.3923/itj.2013.7427.7434
URL: https://scialert.net/abstract/?doi=itj.2013.7427.7434
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