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Chapter 75: The TRANSREG Procedure
Figure 75.1: ANOVA Example Output from PROC TRANSREG
Figure 75.2: Output Data Set from PROC TRANSREG
Figure 75.3: Curve Fitting Example Output
Figure 75.4: Plots for the Curve Fitting Example
Figure 75.5: Smoothing Spline Example 1
Figure 75.6: Smoothing Spline Example 2
Figure 75.7: Missing Values Example
Figure 75.8: Redundancy Analysis Example
Figure 75.9: Redundancy Analysis Example
Figure 75.10: Redundancy Analysis Example
Figure 75.11: Redundancy Analysis Example
Figure 75.12: ANOVA Example Output Data Set Contents
Figure 75.13: Predicted Values Example Output Data Set Contents
Figure 75.14: METHOD=MORALS Rolled Output Data Set
Figure 75.15: A Linear Regression Line
Figure 75.16: A Monotone Regression Function
Figure 75.17: A Nonmonotone Regression Function
Figure 75.18: Linear, Monotone, and Nonmonotone Regression Functions
Figure 75.19: Fitting Models: Separate Curves, Separate Intercepts
Figure 75.20: Plot for the Separate Curves, Separate Intercepts Example
Figure 75.21: ANOVA and Regression Output from PROC TRANSREG
Figure 75.22: ANOVA and Regression Output from PROC REG
Figure 75.23: Two-Variable Polynomial Regression Output from PROC TRANSREG
Figure 75.24: Monotone Spline Transformations
Figure 75.25: Transform Dependent and Independent Variables
Figure 75.26: Implicit Intercept Model (TRANSREG Procedure)
Figure 75.27: Implicit Intercept Model (REG Procedure)
Figure 75.28: The PROC TRANSREG Design Matrix
Figure 75.29: PROC LOGISTIC Output
Figure 75.30: PROC CATMOD Output
Figure 75.31: The Fifth Choice Set
Figure 75.32: Input Data Set
Figure 75.33: Cell -Means Model
Figure 75.34: Cell-Means Model, Design Matrix
Figure 75.35: Reference Cell Model, (3, 2) Reference Cell
Figure 75.36: Reference Cell Model, (3, 2) Reference Cell, Design Matrix
Figure 75.37: Reference Cell Model, (1, 1) Reference Cell
Figure 75.38: Reference Cell Model, (1, 1) Reference Cell, Design Matrix
Figure 75.39: Deviations-From-Means Model, (3, 2) Reference Cell
Figure 75.40: Deviations-From-Means Model, (3, 2) Reference Cell, Design Matrix
Figure 75.41: Deviations-From-Means Model, (1, 1) Reference Cell
Figure 75.42: Deviations-From-Means Model, (1, 1) Reference Cell, Design Matrix
Figure 75.43: Less-Than-Full-Rank Model
Figure 75.44: Less-Than-Full-Rank Model, Design Matrix
Chapter 76: The TREE Procedure
Figure 76.1: High Resolution Tree Diagram from PROC TREE
Figure 76.2: Line Printer Graphics Version of the Tree Diagram
Figure 76.3: Horizontal Tree Diagram Using _PROPOR_ as the HEIGHT Variable
Chapter 77: The TTEST Procedure
Figure 77.1: One-Sample t Test Results
Figure 77.2: Simple Statistics
Figure 77.3: t Tests
Figure 77.4: Tests of Equality of Variances
Chapter 78: The VARCLUS Procedure
Figure 78.1: Final Cluster Summary from the VARCLUS Procedure
Figure 78.2: R-square Values from the VARCLUS Procedure
Figure 78.3: Cluster Correlations and Intercorrelations
Figure 78.4: Final Cluster Summary Table from the VARCLUS Procedure
Figure 78.5: Horizontal Tree Diagram from PROC TREE
Chapter 79: The VARCOMP Procedure
Figure 79.1: Class Level Information
Figure 79.2: Iteration History
Figure 79.3: REML Estimates
Figure 79.4: Covariance Matrix for REML Estimates
Chapter 80: The VARIOGRAM Procedure
Figure 80.1: Scatter Plot of Measurement Locations
Figure 80.2: Surface Plot of Coal Seam Thickness
Figure 80.3: OUTDISTANCE= Data Set Showing Distance Intervals
Figure 80.4: Distribution of Pairwise Distances
Figure 80.6: Distribution of Pairwise Distances
Figure 80.5: OUTDISTANCE= Data Set Showing Distance Intervals
Figure 80.7: OUTVAR= Data Set Showing Sample Variogram Results
Figure 80.8: Standard and Robust Semivariogram for Coal Seam Thickness Data
Figure 80.9: Theoretical and Sample Semivariogram for Coal Seam Thickness Data
Figure 80.15: Selected Pair
P
3
P
4
Falls Outside Bandwidth Limit
Figure 80.10: Flowchart for Variogram Selection
Figure 80.11: Selection of Points
P
1
and
P
2
in Spatial Domain
Figure 80.12: Selected Pair
P
1
P
2
Falls within the Second Angle Class
Figure 80.13: Selected Pair
P
1
P
2
Falls within the First Lag Class
Figure 80.14: Lag Distance Axis Showing Lag Classes
Figure 80.16: Bounding Rectangle to Determine Maximum Pairwise Distance The pairwise distance bound, denoted by
h
b
, is given by
Figure 80.17: Lag Classes Corresponding to
h
=1
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SAS/STAT 9.1 Users Guide, Volumes 1-7
ISBN: 1590472438
EAN: 2147483647
Year: 2004
Pages: 132
Authors:
SAS Publishing
BUY ON AMAZON
Absolute Beginner[ap]s Guide to Project Management
Project Management Overview
Configuration Management Plan
Key Risk Management Principles
Proven Techniques for Leading Cross-Cultural Projects
Proven Techniques for Leading Virtual Projects
Oracle Developer Forms Techniques
GUI Development
Avoiding Confusion Between DO_KEY and the Corresponding KEY- Trigger
The Basics of Error-Message Handling
Intelligence in Forms
Working with Trees
The Complete Cisco VPN Configuration Guide
Summary
L2L Connectivity Example
Configuring the VPN 3000 Concentrator
New IPsec Troubleshooting Features
Easy VPN Server Support for 6.x
The Java Tutorial: A Short Course on the Basics, 4th Edition
First Steps (Win32)
What Is a Class?
Creating Classes
Questions and Exercises
Introduction
GO! with Microsoft Office 2003 Brief (2nd Edition)
Problem Solving
GO! with Help
Concepts Assessments
Performance Assessments
Objective 5. Move and Copy Text
Lean Six Sigma for Service : How to Use Lean Speed and Six Sigma Quality to Improve Services and Transactions
Success Story #1 Lockheed Martin Creating a New Legacy
Seeing Services Through Your Customers Eyes-Becoming a customer-centered organization
Success Story #2 Bank One Bigger… Now Better
First Wave Service Projects
Designing World-Class Services (Design for Lean Six Sigma)
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