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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
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Real and Effective User and Group IDs
File Information
Environment Variables
Creating and Accessing Semaphore Sets
Using Broadcasting to Search for an RPC Service
CISSP Exam Cram 2
SECURITY-MANAGEMENT PRACTICES
OPERATIONS SECURITY
LANs and Their Components
Integrity and Authentication
Cryptographic Attacks
Certified Ethical Hacker Exam Prep
The Seven-Step Information Gathering Process
Trojans and Backdoors
Footprinting
Web Application Vulnerabilities
Exam Simulation
Cisco IP Telephony (CIPT) (Authorized Self-Study) (2nd Edition)
Cisco Trunk Concepts
Cisco Unified CallManager Route Plan Basics
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Preventing Toll Fraud
Microsoft Windows Server 2003(c) TCP/IP Protocols and Services (c) Technical Reference
Local Area Network (LAN) Technologies
Internet Protocol (IP) Addressing
Transmission Control Protocol (TCP) Retransmission and Time-Out
Domain Name System (DNS)
RADIUS and Internet Authentication Service
HTI+ Home Technology Integrator & CEDIA Installer I All-In-One Exam Guide
Troubleshooting Structured Wiring
Distributed Audio System Basics
Troubleshooting Video Systems
Home Lighting Devices
Designing a Home Lighting Control System
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