半参数时空变系数回归模型的估计方法及其统计推断.pdf

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5、O•{{i{AbstractAbstractWiththeexpansionofthescopofstatisticalresearchandapplication,thedatawitchhavespacepositioninformationandtimeattributescausedtheresearchersattention.inspatio-temporaldataanalysisthemainresearchisregressionrelevanceandregressionnonstationary.sospatiallyandtemporallyweight

6、edregressionmodelplaysanimportantroleinspatio-temporaldataanalysis.spatiallyandtemporallyweightedregressionmodelisthedirectexpansionofge-ographicallyweightedregressionmodel.inthevaryingcoecientregressionmodelbymeansofsupposeregressioncoecientisthefunctionofgeographicpositionandobser-vationt

7、ime,thedatacoordinatesofspaceandtimeembeddedintheregressionmodel,providetheeectiveanalysingwaytoanalysisthenonstationaryofregressionrelation-ship.inthispaperbumeansoflocallinearregressiontechniques,analyzedthespatiallyandtemporallyweightedregressionmodel,semiparametricspatiallyandtemporallyw

8、eightedregressionmodelanditsstatisticalinferences.themaininnovationpointsisbelow:(1)thevaryingcoecientregressionmodel,geographicallyweightedregressionmodelareintroducedandthelocallinearestimationmethodofgeographicallyweightedregres-sionmodel