武汉科技大学学报：社会科学版
武漢科技大學學報：社會科學版
무한과기대학학보：사회과학판
Journal of Wuhan University of Science and Technology(Social Science Edition)
2007年
6期
565~569
,共null页
住房需求 预测模型 回归分析
住房需求 預測模型 迴歸分析
주방수구 예측모형 회귀분석
housing need; prediction model; regressive analysis
住房产业区域性强，影响因素多。本文根据武汉市1998年以来的相关资料，运用专家调查法以及灰色理论，确定武汉市住房需求的主要影响因素；运用线性回归理论、幂函数理论，建立多种住房需求预测模型；运用SPSS软件对模型进行模拟、检验、对比分析，选择恰当的居民住房需求模型，对武汉市“十一五”期间居民住房需求进行预测。
住房產業區域性彊，影響因素多。本文根據武漢市1998年以來的相關資料，運用專傢調查法以及灰色理論，確定武漢市住房需求的主要影響因素；運用線性迴歸理論、冪函數理論，建立多種住房需求預測模型；運用SPSS軟件對模型進行模擬、檢驗、對比分析，選擇恰噹的居民住房需求模型，對武漢市“十一五”期間居民住房需求進行預測。
주방산업구역성강，영향인소다。본문근거무한시1998년이래적상관자료，운용전가조사법이급회색이론，학정무한시주방수구적주요영향인소；운용선성회귀이론、멱함수이론，건립다충주방수구예측모형；운용SPSS연건대모형진행모의、검험、대비분석，선택흡당적거민주방수구모형，대무한시“십일오”기간거민주방수구진행예측。
Housing industry carries with it a distinctive local flavor, influenced by many factors. This article, based on the data since of 1998, attempts to determine the major factors that influence the housing needs in Wuhan City by means of survey and grey theory. Many models for predicting the housing needs are established with the help of linear regression theory and power function theory. SPSS software is employed for the simulation, testing, and contrastive analysis, on the basis of which an appropriate model is chosen and the prediction of the housing needs of the inhabitants in Wuhan City during the llth five-year period is made.
