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Chapter 52: The NPAR1WAY Procedure
Figure 52.1: Analysis of Variance
Figure 52.2: Wilcoxon Score Analysis
Figure 52.3: Median Score Analysis
Figure 52.4: Van der Waerden Score Analysis
Figure 52.5: Savage Score Analysis
Figure 52.6: Empirical Distribution Function Analysis
Figure 52.7: Analysis of Variance for Two-Sample Data
Figure 52.8: Wilcoxon Two-Sample Analysis
Figure 52.9: Median Two-Sample Analysis
Figure 52.10: Van der Waerden Two-Sample Analysis
Figure 52.11: Savage Two-Sample Analysis
Figure 52.12: Two-Sample EDF Tests
Chapter 53: The ORTHOREG Procedure
Figure 53.1: PROC ORTHOREG Results
Figure 53.2: Partial PROC GLM Results
Chapter 54: The PHREG Procedure
Figure 54.1: Comparison of Two Survival Curves
Figure 54.2: A Simple Test of Trend in the Hazard Ratio
Chapter 55: The PLAN Procedure
Figure 55.1: Three Replications and Four Factors
Figure 55.2: Using the TREATMENTS Statement
Figure 55.3: A Completely Randomized Design for Two Treatments
Figure 55.4: A Completely Randomized Design for Two Treatments
Figure 55.5: A Simple Plan
Figure 55.6: Output Data Set from Simple Plan
Figure 55.7: Output Form of Input Data Set from Simple Plan
Chapter 56: The PLS Procedure
Figure 56.1: PLS Variation Summary
Figure 56.2: Split-Sample Validated PRESS Statistics for Number of Factors
Figure 56.3: PLS Variation Summary for Split-Sample Validated Model
Figure 56.4: Testing Split-Sample Validation for Number of Factors
Figure 56.5: PLS Variation Summary for Tested Split-Sample Validated Model
Figure 56.6: Predicted Concentrations for New Observations
Figure 56.7: Variation Explained by First Principal Components Regression Factor
Figure 56.8: Variation Explained by First Partial Least Squares Regression Factor
Figure 56.9: Variation Explained by First Partial Least Squares Regression Factor
Figure 56.10: Depiction of First Factors for Three Different Regression Methods
Chapter 57: The POWER Procedure
Figure 57.1: Sample Size Analysis for One-Sample t Test
Figure 57.2: Sample Size Analysis for One-Sample t Test with Input Ranges
Figure 57.3: Plot of Power versus Sample Size for One-Sample t Test with Input Ranges
Figure 57.4: Sample Size Analysis for Two-Sample t Test Using Group Means
Figure 57.5: Sample Size Analysis for Two-Sample t Test Using Mean Differences
Figure 57.6: Error Column
Figure 57.7: Error and Information Columns
Figure 57.8: Hypotheses for the Pollutant Study
Figure 57.9: Partial Regression Plot
Chapter 58: The PRINCOMP Procedure
Figure 58.1: Number of Observations and Simple Statistics from the PRINCOMP Procedure
Figure 58.2: Correlation Matrix from the PRINCOMP Procedure
Figure 58.3: Correlation Matrix from the PRINCOMP Procedure
Figure 58.4: Eigenvalues from the PRINCOMP Procedure
Figure 58.5: Eigenvectors from the PRINCOMP Procedure
Figure 58.6: Eigenvectors from the PRINCOMP Procedure
Chapter 59: The PRINQUAL Procedure
Figure 59.2: PROC PRINQUAL MTV Iteration History
Figure 59.3: Variable Transformation Plots
Figure 59.4: Plots of the Nearly One-Dimensional Curve
Figure 59.1: Three-Dimensional Curve Example Output
Chapter 60: The PROBIT Procedure
Figure 60.1: Model Fitting Information for the PROBIT Procedure
Figure 60.2: Model Parameter Estimates for the PROBIT Procedure
Figure 60.3:
Tolerance Distribution Estimates for the PROBIT Procedure
Figure 60.4: Plot of Observed and Fitted Probabilities versus Dose Level
Figure 60.5:
Inverse Predicted Probability Plot with Fiducial Limits
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SAS.STAT 9.1 Users Guide (Vol. 5)
ISBN: N/A
EAN: N/A
Year: 2004
Pages: 98
BUY ON AMAZON
Project Management JumpStart
Defining the Project Goals
Planning and Acquiring Resources
Developing the Project Plan
Budgeting 101
Appendix C Sample Project Management Checklists
CompTIA Project+ Study Guide: Exam PK0-003
Project Initiation
Scope Planning
Other Planning Processes
Project Execution
Project Closure
Strategies for Information Technology Governance
Structures, Processes and Relational Mechanisms for IT Governance
An Emerging Strategy for E-Business IT Governance
Technical Issues Related to IT Governance Tactics: Product Metrics, Measurements and Process Control
Managing IT Functions
The Evolution of IT Governance at NB Power
Lotus Notes and Domino 6 Development (2nd Edition)
Working with the Properties Box
Customizing the Tools Menu
Using Embedded Elements
Real-World JavaScript Examples
Document Tags
PostgreSQL(c) The comprehensive guide to building, programming, and administering PostgreSQL databases
Retrieving Data from the Sample Database
Creating Your Own Data Types
Prerequisites
Summary
PL/JavaWriting Stored Procedures in Java
DNS & BIND Cookbook
Checking Whether a Domain Name Is Registered
Adding an Alias
Discarding a Category of Messages
Tracing Name Resolution Using dig
Introduction
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