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

Research output: Journal article publication › Journal article › Academic research › peer-review

5 Citations (Scopus)

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 - 1 Jan 1997

ASJC Scopus subject areas

Environmental Engineering
Civil and Structural Engineering
Geography, Planning and Development
Building and Construction

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10.1016/S0360-1323(97)00013-9

Cite this

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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.",

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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 - https://www.scopus.com/pages/publications/0031235464

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

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

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JO - Building and Environment

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IS - 5

ER -

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

Abstract

ASJC Scopus subject areas

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