Contents
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Index
Summary Statistics Using Frequencies
Summary Statistics Using Descriptives
Exploratory Data Analysis
Analysis of Cross-classifications Using Crosstabs
The Summarize Procedure
The Means Procedure
The OLAP Cubes Procedure
T Tests
One-Sample T Test
Paired-Samples T Test
Independent-Samples T Test
One-Way Analysis of Variance
GLM Univariate
Bivariate Correlations
Linear Regression
Discriminant Analysis
Discriminant Analysis
Discriminant Analysis Model
Using Discriminant Analysis to Assess Credit Risk
Preparing the Data for Analysis
Running the Analysis
Classifying Customers as High or Low Credit Risks
Checking Collinearity of Predictors
Checking for Correlation of Group Means and Variances
Checking Homogeneity of Covariance Matrices
Assessing the Contribution of Individual Predictors
Tests of Equality of Group Means
Standardized Canonical Discriminant Function Coefficients
Structure Matrix
Assessing Model Fit
Eigenvalues
Wilks' Lambda
Model Validation
Specifying Separate-Groups Covariance Matrices
Adjusting Prior Probabilities
Summary
Using Discriminant Analysis to Classify Segment Telecommunications Customers
Running the Analysis
Stepwise Discriminant Analysis
A Note of Caution Concerning Stepwise Methods
Checking Model Fit
Structure Matrix
Territorial Map
Classification Results
Summary
Related Procedures
Recommended Readings
Factor Analysis
Hierarchical Cluster Analysis
K-Means Cluster Analysis
Nonparametric Tests
The Chi-Square Test
The Binomial Test Procedure
The Runs Test Procedure
One-Sample Kolmogorov-Smirnov Procedure
Nonparametric Tests for Two Independent Samples
Nonparametric Tests for Multiple Independent Samples
Nonparametric Tests for Two Related Samples
Nonparametric Tests for Multiple Related Samples
ROC Curve
Control Charts
Data Files Used
Table of Contents
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