資源描述：
《離散選擇模型logit模型實(shí)例stata分析ppt課件.pptx》由會(huì)員上傳分享，免費(fèi)在線閱讀，更多相關(guān)內(nèi)容在教育資源-天天文庫(kù)。
1、DiscreteChoiceAnalysis TermpaperLogitmodelingwithstata2016.12.14G201538010LITINGTING1ContentsIntroductionSPDatasetinformationModelingscenariossettingDatamodificationModelingestimatedresultsModelingcomparisonConclusion2IntroductionThispaperdevelopedadisaggregatedlogisticsdemandmodelsusingdiscretech
2、oiceanalysismethod.Datausedis2008-SPdatafromasurvey.Statawasemployedfortheestimationoflogitmodels.3SPDatasetinformationStatedpointed:2007Analysiscommodity:steelAnalysisrange:30people(row600-1500)Dependentvariable:choiceIndependentvariables:cost[log(#/10^5)]time[hour]LOS[#/10]4ModelingScenariosSett
3、ingModelingscenariosMarketSegment?YNMODEL1-1-Distance5/63variables(cost/time/LOS)MODEL2-1-Distance5/62variables(cost/time)MODEL3-1-Distance5/62variables(cost/LOS)MODEL4-1-Distance5/62variables(time/LOS)MODEL1-23variables(cost/time/LOS)MODEL2-22variables(cost/time)MODEL3-22variables(cost/LOS)MODEL4
4、-22variables(time/LOS)5DataModificationWemodifyrow-datatoremoveunreasonabledataset-Suchasthechoiceofthenot-dominantalternativeModel1has1unreasonabledatasets(inalldatasets)Model2has31unreasonabledatasets(inalldatasets)Model3has8unreasonabledatasets(inalldatasets)Model4has85unreasonabledatasets(inal
5、ldatasets)Model4isignored6idmodedistanceqtypecosttimeloschoicelogcost5los2223rail51210000146000.7419376223truck5128000066011.0296196223rail5102100001910000.74193710223truck51028000076011.0296196Datareorganizeexampleiddistancequestiontyperailtruckchoicecosttimeloscosttimelos223512100001460280000660
6、22235226000014803500007602BasicdataDataModification7ModelingEstimatedResults(DIST5)Modeldistance51-1-50.28992-1-50.28843-1-50.10428ModelingEstimatedResults(DIST6)Modeldistance61-1-60.25882-1-60.25393-1-60.07049ModelingEstimatedResults(DIST5&6)ModelDistance5&61-20.25392-20.25213-20.083810ModelingCo
7、mparison11ConclusionThebestmodelisModel1-1Statisticalresultsoftheestimationindicatethatmarketsegmentationmakesthemodelmorecomprehensive.Themorevariablesmodelhas,themorecomprehensivemodelis.Themodelwhichisused3var
