The acquisition of live data through case study analysis and subsequent application of econometric modelling techniques can often prove effective in the pursuit to explain trends in real estate values, despite characteristically limited availability of data sets (observations) especially in the case of larger property developments. Both linear and non-linear (polynomial and other forms) regression analysis techniques are typically utilised for this purpose. Such regression models describe and evaluate the relationship between a dependant variable , and other variables (independent variables)
Office space oversupply cost Australia billions of dollars during the 1990-92 recession. Australia, ...
In recent years big financial institutions are interested in creating and maintaining property valua...
This thesis was conducted as a data mining project that was inspired by the recent advances in the f...
The acquisition of live data through case study analysis and subsequent application of econometric m...
The need for a house rental model in Townsville, Australia is addressed. Models developed for predic...
Residential real estate forecasting has become a part of the larger process of business planning and...
This thesis presents an analysis of UK national and regional property price dynamics with the focus ...
[[abstract]]The purpose of this study is to propose an innovative real estate valuation approach cal...
The study aims to develop a model that supports the application of data science techniques for real ...
The selection of a model describing the market variability of real estate values in relation to thei...
In this paper, we attempt to predict the price of a real estate individual homes sold in North West ...
An accurate prediction to the housing prices is very important to all the real estate market partici...
This study applies a process of correlation analysis and hedonic based modelling to investigate the ...
Recently, focus of real estate investment has expanded from the building-specific level to the aggre...
The article deals with issues related to the application of statistical methods used in the valuatio...
Office space oversupply cost Australia billions of dollars during the 1990-92 recession. Australia, ...
In recent years big financial institutions are interested in creating and maintaining property valua...
This thesis was conducted as a data mining project that was inspired by the recent advances in the f...
The acquisition of live data through case study analysis and subsequent application of econometric m...
The need for a house rental model in Townsville, Australia is addressed. Models developed for predic...
Residential real estate forecasting has become a part of the larger process of business planning and...
This thesis presents an analysis of UK national and regional property price dynamics with the focus ...
[[abstract]]The purpose of this study is to propose an innovative real estate valuation approach cal...
The study aims to develop a model that supports the application of data science techniques for real ...
The selection of a model describing the market variability of real estate values in relation to thei...
In this paper, we attempt to predict the price of a real estate individual homes sold in North West ...
An accurate prediction to the housing prices is very important to all the real estate market partici...
This study applies a process of correlation analysis and hedonic based modelling to investigate the ...
Recently, focus of real estate investment has expanded from the building-specific level to the aggre...
The article deals with issues related to the application of statistical methods used in the valuatio...
Office space oversupply cost Australia billions of dollars during the 1990-92 recession. Australia, ...
In recent years big financial institutions are interested in creating and maintaining property valua...
This thesis was conducted as a data mining project that was inspired by the recent advances in the f...