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Chapter 22: The CATMOD Procedure
Figure 22.1: Model Information and Profile Tables
Figure 22.2: Observed Response Functions and Design Matrix
Figure 22.3: ANOVA Table for the Saturated Model
Figure 22.4: Population and Response Profiles, Main-Effects Model
Figure 22.5: Design Matrix for the Main-Effects Model
Figure 22.6: ANOVA Table for the Main-Effects Model
Figure 22.7: Parameter Estimates for the Main-Effects Model
Figure 22.8: Model Information and Profile Tables
Figure 22.9: ANOVA Table
Figure 22.10: ANOVA Table
Figure 22.11: Parameter Estimates
Chapter 23: The CLUSTER Procedure
Figure 23.1: Table of Eigenvalues of the Covariance Matrix
Figure 23.2: Cluster Generation History and R-Square Values
Figure 23.3: Tree Diagram of Clusters versus R-Square Values
Figure 23.4: Plot of Canonical Variables and Cluster for Three Clusters
Chapter 24: The CORRESP Procedure
Figure 24.1: Inertia and Chi-Square Decomposition
Figure 24.2: Plot of Dimension 1 versus Dimension 2 for Ph.D. Data
Figure 24.3: Fuzzy Coding of Missing Values
Figure 24.4: Contingency Table for Sex, Age
Figure 24.5: Contingency Table for Hair * Height, Sex Age
Figure 24.7: Binary Table from PROC CORRESP
Figure 24.6: Burt Table from PROC CORRESP
Chapter 25: The DISCRIM Procedure Chapter Contents
Figure 25.1: Summary Information
Figure 25.2: Pooled Covariance Matrix Information
Figure 25.3: Squared Distances
Figure 25.4: Linear Discriminant Function
Figure 25.5: Resubstitution Misclassification Summary
Figure 25.6: Plot of Data with Singular Within-Class Covariance Matrix
Chapter 26: The DISTANCE Procedure
Figure 26.1: First 10 Observations in the Output Data Set from PROC DISTANCE
Figure 26.2: Tree Diagram of Clusters versus R-Square Values
Chapter 27: The FACTOR Procedure
Figure 27.1: Table of Eigenvalues from PROC FACTOR
Figure 27.2: Factor Pattern Matrix from PROC FACTOR
Figure 27.3: Variance Explained and Final Communality Estimates
Figure 27.4: Transformation Matrix and Rotated Factor Pattern
Figure 27.5: Variance Explained and Final Communality Estimates after Rotation
Chapter 28: The FASTCLUS Procedure
Figure 28.1: Initial Seeds Used in the FASTCLUS Procedure
Figure 28.2: Cluster Summary Table from the FASTCLUS Procedure
Figure 28.3: Statistics for Variables Used in the FASTCLUS Procedure
Figure 28.4: Cluster Means and Standard Deviations from the FASTCLUS Procedure
Figure 28.5: Frequency Table of Cluster versus Species
Figure 28.6: Plot of Canonical Variables and Cluster Value
Chapter 29: The FREQ Procedure
Figure 29.1: Crosstabulation Table
Figure 29.2: Statistics Produced with the CHISQ Option
Figure 29.3: Crosstabulation Table and Statistics for Boys
Figure 29.4: Crosstabulation Table and Statistics for Girls
Figure 29.5: Test for the Hypothesis of No Association
Figure 29.6: Agreement Study
Figure 29.7: Missing Values in Frequency Tables
Chapter 30: The GAM Procedure (Experimental)
Figure 30.1: Summary Statistics
Figure 30.2: Analysis of Model
Figure 30.3: Partial Predictions for each Predictor (Experimental)
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SAS/STAT 9.1 Users Guide Volume 2 only
ISBN: B003ZVJDOK
EAN: N/A
Year: 2004
Pages: 92
BUY ON AMAZON
ADO.NET 3.5 Cookbook (Cookbooks (OReilly))
Adding and Modifying Data
Updating a Data Source with Data from a Different Data Source
Serializing Data
Synchronizing Master-Detail Web Forms DataGrids
Using a DataView to Control Edits, Deletions, or Additions in Windows Forms
Managing Enterprise Systems with the Windows Script Host
Shell Operations
Networking Resources
Registry Operations
Data Access
System Administration
Oracle SQL*Plus: The Definitive Guide (Definitive Guides)
Executing Scripts
A Lightning SQL Tutorial
Creating HTML Reports
Indexes
Validating and Parsing User Input
Java Concurrency in Practice
Atomicity
Visibility
Adding Functionality to Existing Thread-safe Classes
Summary
Summary
Java All-In-One Desk Reference For Dummies
Working with Variables and Data Types
Using Subclasses and Inheritance
Using Inner Classes
Packaging and Documenting Your Classes
Using Arrays
Microsoft Visual Basic .NET Programmers Cookbook (Pro-Developer)
Numbers, Dates, and Other Data Types
Arrays and Collections
XML
Web Services
Useful COM Interop
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