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Model Of Tianjin House Price

Posted on:2008-10-31Degree:MasterType:Thesis
Country:ChinaCandidate:L W XinFull Text:PDF
GTID:2120360245993745Subject:Applied Mathematics
Abstract/Summary:PDF Full Text Request
In recent years,the real estate have developed by leaps and bounds,and thisphenomenon has caused attracted the serious attention of the Chinese govern-ment and ordinary civilians. House prices became the focus of China's economic .Over the past few years,the Central Committee has adopted a series of importantregulations and control measures. brought good results.In more than a dozen years,Time series analysis has made rapid progress,been rich in content and applications abound,and became a branch of mathematicsstatistics. This paper analyzes the house price data ,since 1991,especially for thelast years. In the 2001,China join the WTO ,became one of the WTO members.We should continue our reform and the open policy.Our markets come into bloom.But the transition of the economic system wasn't inchoate, the property face bothopportunities and challenges, Fluctuation of price naturally enter upon more oftenphase in your life. On this occasion , we wish to keep our hold on the regular ofthe trend and the fluctuation.Building an ARMA model by analysis of the development trends andcharacteristics of the room charges rising and falling,and forecast the tendencyof house price in the future. This paper have four parts:(I)Introduction the realestate;(II)Introduction the relation contents of time series ; (III)Introductionleast square estimate and long autoregressive model; (IIII)Building an ARMAmodel.
Keywords/Search Tags:time series, ARMA, fluctuation of house price, least square estimate, linear forest
PDF Full Text Request
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