List of Figures


Chapter 31: The GENMOD Procedure

Figure 31.2: Class Level Information
Figure 31.1: Model Information
Figure 31.1: Model Information
Figure 31.4: Analysis Of Parameter Estimates
Figure 31.3: Goodness Of Fit
Figure 31.3: Goodness Of Fit
Figure 31.5: Type 1 Analysis
Figure 31.6: Type 3 Analysis
Figure 31.7: GEE Model Information
Figure 31.8: GEE Parameter Estimate Covariance Matrices
Figure 31.9: GEE Working Correlation Matrix
Figure 31.10: GEE Parameter Estimates Table

Chapter 32: The GLM Procedure

Figure 32.1: Class Level Information
Figure 32.2: ANOVA Table and Tests of Effects
Figure 32.3: Plot of LOSS vs. FE
Figure 32.4: Class Level Information
Figure 32.5: ANOVA Table
Figure 32.6: Tests of Effects and Parameter Estimates
Figure 32.7: Linear Model Output
Figure 32.8: Summary ANOVA Table from PROC GLM
Figure 32.9: General Form of Estimable Functions
Figure 32.10: Type I Estimable Functions and Associated Tests
Figure 32.11: Type II Estimable Functions and Associated Tests
Figure 32.12: Type III Estimable Functions and Associated Tests
Figure 32.13: Absorption of Effects
Figure 32.14: ANOVA Results for Unbalanced Two-Way Design
Figure 32.15: Treatment Means for Unbalanced Two-Way Design
Figure 32.16: Treatment LS-means for Unbalanced Two-Way Design
Figure 32.17: Two-way Design with Significant Interaction
Figure 32.18: Interaction LS-means and Simple Effects

Chapter 33: The GLMMOD Procedure

Figure 33.1: Class Level Information and Parameter Definitions
Figure 33.2: Design Matrix
Figure 33.3: Regression Analysis

Chapter 34: The GLMPOWER Procedure

Figure 34.1: Sample Size Analysis for Two-Way ANOVA
Figure 34.2: Sample Size Analysis for Two-Way ANOVA with Input Ranges
Figure 34.3: Plot of Power versus Sample Size for Two-Way ANOVA with Input Ranges
Figure 34.4: Sample Size Analysis for More Complex Two-Way ANOVA
Figure 34.5: Error and Information Columns

Chapter 35: The INBREED Procedure

Figure 35.1: Analysis for an Overlapping Population
Figure 35.2: Analysis for a Nonoverlapping Population
Figure 35.3: Averages within Sex Categories for a Nonoverlapping Generation
Figure 35.4: Inbreeding Relationship for Nonoverlapping Population
Figure 35.5: Inbreeding Relationship for Overlapping Population

Chapter 36: The KDE Procedure

Figure 36.1: Contour Plot of Estimated Density (Experimental)
Figure 36.2: Surface Plot of Estimated Density (Experimental)

Chapter 37: The KRIGE2D Procedure

Figure 37.1: Surface Plot of Kriged Coal Seam Thickness
Figure 37.2: Surface Plot of Standard Errors of Kriging Estimates
Figure 37.3: Flowchart for Variogram Selection
Figure 37.4: Spherical Semivariogram Model with Parameters a = 1 and c = 4
Figure 37.5: Gaussian Semivariogram Model with Parameters a = 1 and c = 4
Figure 37.6: Exponential Semivariogram Model with Parameters a = 1 and c = 4
Figure 37.7: Power Semivariogram Model with Parameters a = 0 . 4 and c = 4
Figure 37.8: Sum of Exponential and Spherical Structures at Different Scales
Figure 37.9: Exponential Semivariogram Model with a Nugget Effect c n = 1 . 5
Figure 37.10: Geometric Anisotropy with Major Axis along EW Direction

Chapter 38: The LATTICE Procedure

Figure 38.1: Output from Example LATTICE Procedure

Chapter 39: The LIFEREG Procedure

Figure 39.1: Headache Data
Figure 39.2: Model Fitting Information from the LIFEREG Procedure
Figure 39.3: Model Parameter Estimates from the LIFEREG Procedure
Figure 39.4: Plot of the Estimated Cumulative Distribution Function

Chapter 40: The LIFETEST Procedure

Figure 40.1: Survivor Function Estimate for the Drug X-Treated Rats
Figure 40.2: Summary Statistics of Survival Times for Drug X-Treated Rats
Figure 40.3: Survivor Function Estimate for Placebo-Treated Rats
Figure 40.4: Summary Statistics of Survival Times for Placebo-Treated Rats
Figure 40.5: Number of Event and Censored Observations
Figure 40.6: Results of the 2-sample Tests
Figure 40.7: Plot of Estimated Survivor Functions (Experimental)
Figure 40.8: Results of the Stratified 2-sample Tests
Figure 40.9: Results of Linear Rank Tests of Treatment
Figure 40.10: Result of Stratified Linear Rank Tests of Treatment

Chapter 41: The LOESS Procedure

Figure 41.1: Scatter Plot of Incidences versus Year for the Melanoma Data
Figure 41.2: Output from PROC LOESS
Figure 41.3: Output from PROC LOESS continued
Figure 41.4: PROC PRINT Output of the Results Data Set
Figure 41.5: Default Loess Fit for Melanoma Data
Figure 41.6: Model Summary Table
Figure 41.7: PROC PRINT Output of the Results Data Set
Figure 41.8: Loess Fits with a Range of Smoothing Parameters
Figure 41.9: Scatter Plots of Residuals versus Year
Figure 41.10: Loess fit of Melanoma Data with 90% Confidence Bands



SAS.STAT 9.1 Users Guide (Vol. 3)
SAS/STAT 9.1, Users Guide, Volume 3 (volume 3 ONLY)
ISBN: B0042UQTBS
EAN: N/A
Year: 2004
Pages: 105

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