摘要
主要探讨了在商品住宅价格趋势预测中更为适用、精确的一种方法——等维灰数递补MGM(1,n)模型即基于多变量灰色模型的等维灰数递补动态模型.针对该模型选取XX市历年商品住宅均价及相关指标数据作为样本,对其进行了严格的验证,等维灰数递补动态模型的引入使得多变量灰色模型的预测精度得到了不断的提高,该方法在经济预测中具有很好的实用价值.
The paper discusses a more applicable and accurate method applied to the trend prediction of commodity housing price:equal-dimension grey addition model based on the multi-variable gray model. It then verifies the model according to a series Of dates about commodity housing price and related indexes of XX city. As is shown,the model prediction accuracy has been improved continuously since equal-dimension grey addition model introduced into the multi-variable gray model. This method is of good practical value in the economic prediction.
出处
《西安建筑科技大学学报(自然科学版)》
CSCD
北大核心
2010年第1期93-99,共7页
Journal of Xi'an University of Architecture & Technology(Natural Science Edition)
基金
陕西省软科学项目(2008KR104)
关键词
商品住宅价格
多变量灰色模型
趋势预测
commodity housing price
multi-variable gray model
trend prediction