Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/13617
Title: Comparative study of analytical rental model and statistical models for predicting house rental levels
Authors: Li, H 
Li, V
Skitmore, M
Issue Date: 1997
Publisher: Pergamon Press
Source: Building and environment, 1997, v. 32, no. 5, p. 389-395 How to cite?
Journal: Building and environment 
Abstract: The need for a house rental model in Townsville, Australia is addressed. Models developed for predicting house rental levels are described. An analytical model is built upon a priori selected variables and parameters of rental levels. Regression models are generated to provide a comparison to the analytical model. Issues in model development and performance evaluation are discussed. A comparison of the models indicates that the analytical model performs better than the regression models.
URI: http://hdl.handle.net/10397/13617
ISSN: 0360-1323
EISSN: 1873-684X
DOI: 10.1016/S0360-1323(97)00013-9
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

44
Last Week
1
Last month
Checked on Sep 18, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.