Comparative study of analytical rental model and statistical models for predicting house rental levels

Heng Li; Vera Li; Martin Skitmore

doi:10.1016/S0360-1323(97)00013-9

Comparative study of analytical rental model and statistical models for predicting house rental levels

Heng Li^*, Vera Li, Martin Skitmore

^*Corresponding author for this work

Research output: Contribution to journal › Article › Research › peer-review

5 Citations (Scopus)

35 Downloads (Pure)

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.

Original language	English
Pages (from-to)	389-395
Number of pages	7
Journal	Building and Environment
Volume	32
Issue number	5
DOIs	https://doi.org/10.1016/S0360-1323(97)00013-9
Publication status	Published - Sept 1997
Externally published	Yes

Access to Document

10.1016/S0360-1323(97)00013-9

Comparative study of analytical rental model and statistical models for predicting house rental levelsAccepted author manuscript, 164 KBLicence: Other

Cite this

@article{e93bca44aef045ed89d2c88e0c83ca65,

title = "Comparative study of analytical rental model and statistical models for predicting house rental levels",

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.",

author = "Heng Li and Vera Li and Martin Skitmore",

year = "1997",

month = sep,

doi = "10.1016/S0360-1323(97)00013-9",

language = "English",

volume = "32",

pages = "389--395",

journal = "Building and Environment",

issn = "0360-1323",

publisher = "Elsevier BV",

number = "5",

}

TY - JOUR

T1 - Comparative study of analytical rental model and statistical models for predicting house rental levels

AU - Li, Heng

AU - Li, Vera

AU - Skitmore, Martin

PY - 1997/9

Y1 - 1997/9

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0031235464&partnerID=8YFLogxK

U2 - 10.1016/S0360-1323(97)00013-9

DO - 10.1016/S0360-1323(97)00013-9

M3 - Article

AN - SCOPUS:0031235464

SN - 0360-1323

VL - 32

SP - 389

EP - 395

JO - Building and Environment

JF - Building and Environment

IS - 5

ER -

Comparative study of analytical rental model and statistical models for predicting house rental levels

Abstract

Access to Document

Other files and links

Fingerprint

Cite this