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本附件包括：
- demo6 Clustering Levels of Categorical Inputs.sas
- demo7 Variable Clustering.sas
- demo8 Variable Screening.sas
- demo9 Empirical Logit Plots.sas
- demo10 Accommodating Non-Linearities.sas
- demo11 Automatic Subset Selection.sas
- demo12 Honest Model Assessment.sas
- demo12 Honest Model AssessmentSAS92.sas
- demo13 Assessing Classifier Perfomance.sas
- demo13 Assessing Classifier PerformanceSAS92.sas
- demo14 Using Profit to Assess Fit.sas
- demo14 Using Profit to Assess FitSAS92.sas
- demo15 Calculating the K-S and c Statistics.sas
- demo15 Calculating the K-S and c StatisticsSAS92.sas
- demo16 All Subsets Regression.sas
- develop.sas7bdat
- dmagecr.sas7bdat
- exercise solutions.sas
- german.sas
- new.sas7bdat
- Predictive Modeling Using Logistic Regression search.pdf
- Predictive Modeling Using Logistic Regression.pdf
- pva code.txt
- pva practice data imputation.docx
- pva_raw_data.sas7bdat
- pva1 collapsing.txt
- QuickReference.pdf
- READ.ME
- Sampling Weights.sas
- A00-240.pdf
- Advanced Credit Risk Modeling for Basel II Using SAS 2008.pdf
- BASELIIA_001.pdf
- demo1 Exploring the Data.sas
- demo2 Introduction to the LOGISTIC Procedure.sas
- demo3 Scoring New Cases.sas
- demo4 Correcting for Oversampling.sas
- demo5 Imputing Missing Values.sas
- 17.71 MB
- 2015-3-25
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