List of Figures


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



SAS.STAT 9.1 Users Guide (Vol. 5)
SAS.STAT 9.1 Users Guide (Vol. 5)
ISBN: N/A
EAN: N/A
Year: 2004
Pages: 98

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