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比較線性模型和probit模型、logit模型(存儲(chǔ)版)

  

【正文】 .infolikelihood Avg.with=YFActual:SquaredCoefficient BiasRMSE=模型,說(shuō)明其誤差率比模型。模型和相差很小,所以正確率相差不大。模型和LogitMAPE=LogitError Theil97Root(,=Rsquared Probability(LRcriter. Restr.ofusingobservations:ProbitProportion CovarianceAbsolutesample:=1+Dep=0 83 Totallogcriterion SumError zStatistic Prob.C SCORE Meanafterclimbing)Date:Variable:Percentageobservations:+infoError tStatistic Prob.C SCORE Rsquared MeanLeast+1,未錄取為級(jí)研究生考試分?jǐn)?shù)及錄取情況的研究,引入錄取與未錄取這一虛擬變量,比較線性概率模型與2826402935603084803284003383203492403581613789138751SCORE13711113551903472703323503214303035102915902786727568273692737027271267722667326374261752607625677252782527924580243812428224183239842
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