In this paper, using the multiple linear regression method we built the cobweb model and gray to forecast a model based on the national real estate data and reasonable assumptions, were built to our country real estate industry trend analysis and sustainable development model, and the model is calculated and analyzed, and the results with the t inspection and F inspection test validation rationality, then give the reasonable explanations and suggestions
This thesis was conducted as a data mining project that was inspired by the recent advances in the f...
Considering that the real estate industry is a critical industry to promote the economy in China, it...
Over the past 40 years of China's reform and opening -up, the Chinese society and national economy h...
In this paper, using the multiple linear regression method we built the cobweb model and gray to for...
AbstractBy analyzing the main factors influencing the real estate market demand and mechanism, the p...
Databases of real estates, analysed in consideration of the coherence, are the ground for estimation...
Real estate industry plays a significant role in high speed of economic development in China. Howeve...
Presented to the 12th Annual Symposium on Graduate Research and Scholarly Projects (GRASP) held at ...
Econometric models play an important role among the macroeconomic models that are currently being de...
The study aims to develop a model that supports the application of data science techniques for real ...
The doctoral thesis deals with the finding of a suitable approach for predicting the development of ...
Nowadays in China traditional systems of making decisions in the sphere of real estate investments d...
Regression Analysis is a statistical technique or tool for evaluating, investigating, modelling or e...
With its growing share in national economies, the real estate sector has been considered a vital con...
Purpose – The commercial property market is complex, but the literature suggests that simple models...
This thesis was conducted as a data mining project that was inspired by the recent advances in the f...
Considering that the real estate industry is a critical industry to promote the economy in China, it...
Over the past 40 years of China's reform and opening -up, the Chinese society and national economy h...
In this paper, using the multiple linear regression method we built the cobweb model and gray to for...
AbstractBy analyzing the main factors influencing the real estate market demand and mechanism, the p...
Databases of real estates, analysed in consideration of the coherence, are the ground for estimation...
Real estate industry plays a significant role in high speed of economic development in China. Howeve...
Presented to the 12th Annual Symposium on Graduate Research and Scholarly Projects (GRASP) held at ...
Econometric models play an important role among the macroeconomic models that are currently being de...
The study aims to develop a model that supports the application of data science techniques for real ...
The doctoral thesis deals with the finding of a suitable approach for predicting the development of ...
Nowadays in China traditional systems of making decisions in the sphere of real estate investments d...
Regression Analysis is a statistical technique or tool for evaluating, investigating, modelling or e...
With its growing share in national economies, the real estate sector has been considered a vital con...
Purpose – The commercial property market is complex, but the literature suggests that simple models...
This thesis was conducted as a data mining project that was inspired by the recent advances in the f...
Considering that the real estate industry is a critical industry to promote the economy in China, it...
Over the past 40 years of China's reform and opening -up, the Chinese society and national economy h...