4 articles for “House Prices”

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Research ArticleOpen accessPhrase in the titlePerformance of Multiple Linear Regression and Nonlinear Neural Networks and Fuzzy Logic Techniques in Modelling House PricesSiti Amri, Gurudeo Anand TularamHouse price prediction continues to be important for government agencies insurance companies and real estate industry. This study investigates the performance of house sales price models based on linear and non-linear approaches to study the effects of selected variables. Linear stepwise Multiple Regression (MR) and nonlinear models of Neural Network (NN) and Adaptive Neuro-Fuzzy (ANFIS) are developed and compared. The … …Journal of Mathematics and Statistics, Vol. 8, Issue 4 · 18 Dec 2012 · 8,430 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsDetecting Malaysian Housing BubblesYip Chee Yin, Wong Woei Chyuan, Woo Kok HoongThis paper examines whether Malaysia is facing an impending housing bubble by using a graphical analysis, logical deduction and two statistical tests. Our research results are robust and supported by a three prone approach: Logical deduction working on the historical price trend based on most recent research findings on bubble; testing the stability of the price cycle and a statistical … …American Journal of Applied Sciences, Vol. 13, Issue 3 · 20 Mar 2016 · 8,332 accessesView PDF Cite

Research ArticleOpen accessIn the abstractThe Impact of a Letter of Map Amendment on Floodplain Property ValueJames E. LarsenSubstantial empirical evidence indicates properties across the United States that are located within a Special Flood Hazard Area (SFHA) sell at a discount compared to similar properties otherwise located. This result is also true in our sample. Researchers have suggested the price discount equals a combination of the present value of the required flood insurance premiums and the value of … …American Journal of Economics and Business Administration, Vol. 4, Issue 3 · 14 Aug 2012 · 6,894 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordConstrained Modified Genetic Algorithm for Optimizing RICE Climate Change Model PolicyHaitham OsmanThe objective of this paper is to use evolutionary algorithm for policy making to help in decision support, the Regional Integrated Climate-Economy (RICE) model for the dynamic climate change is used to optimize the tradeoff policy between abating of carbon dioxide emissions to reduce global climate change and in the other hand the resulting in economic damages. A Constrained Genetic … …American Journal of Applied Sciences, Vol. 14, Issue 10 · 12 Apr 2017 · 7,508 accessesView PDF Cite