货运量预测的多元线性回归模型验证与改进研究

《货运量预测的多元线性回归模型验证与改进研究》由会员上传分享，免费在线阅读，更多相关内容在行业资料-天天文库。

1、合肥工业大学硕士学位论文货运量预测的多元线性回归模型验证与改进研究姓名：刘平申请学位级别：硕士专业：物流工程指导教师：王庆军2011-065TheresearchoffreightvolumeforecastingmultiplelinearregressionmodelvalidationandimproveAbstractAsthelogisticsindustryrestructuringandrevitalizationoftheplanningpromulgated，logisticsindustryastheten

2、majorrevitalizationofthedevelopmentofindustryarehighly.Cargoisanimportantindicatorforanalysisinglogisticneedsofregion.Itisthemainbasisfordeterminingthescaleofthelogisticinfrastructureandmakingindustrialpolicies.Becauseinformationcomprehensiveandoperationsimple,multi

3、variablelinearregressionmodeltobethefirstchoiceofthevavioscargofroreastmodels.Cargoasakindofeconomicactivities,itspredictionsofthelinearregressionmodelwouldhavesurelyexisted.Tostudythemodelofcargofroreastiisarewardingjob.Basedonthereadofhomeandabroadrelevantdocument

4、s,thisarticleanalysedthecargoofmultivariablelinearregressionmodel,summariedofthemodelhassomeCharacteristics,suchascomprehensive,highlyGoodnessofFit,explanationoftheindicatorsandsoon.Itisalsopointedoutthecontradictionsofthatmodelandflawsoftheregression.pointsoutthatt

5、heimprovedmethodbroughtbyinformationtheresultpredicteddeletetheincompleteofidealsshortage.Accordingtomultiplelinearregressionmodeloffreightandeconometricsimprovementmethodshortcomingsdeficiency.thispaperisbasedonthetheoryofsystemclusteringmultivariatelinearmodelsimp

6、rovementmethod,usingcorrelationanalysistheoryofindependentcomprehensiveindexdatamatrix,establishingmonadiclinearregressionmodel.Finallyinempiricalanalysisonthebasisoffittingabilityindex,forecastingabilityindexdata,etc.thispapersummarizesadvantagesofaspectsofcontenta

7、ndwhichneedstobeimproved.Inthispaper,theworkbaseingonsystemclusteringmethodsofimprovementbelongtocreatetypeofresearch.Applicationsystemclusteringtheoryofmultiplelinearregressionmodelwasimproved,itovercomeregressionproblemsandconstructthefreightvolumeforecastingmodel

8、.theresearchcontentofstudiesalsodidnotinvolveathomeandabroad,whichmakethispapercontentmorecreative.Keyword：Freightvolume；Multivariatelinea