SAS/STAT 9.1 Users Guide, Volumes 1-7

ISBN: 1590472438
EAN: 2147483647

Year: 2004
Pages: 156

Authors: SAS Publishing

BUY ON AMAZON

Table of Contents
BackCover
SASSTAT 9.1 User s Guide, Volume 1
Acknowledgments
Acknowledgments
What s New in SASSTAT 9 and 9.1
CATMOD Procedure
DISTANCE Procedure
FACTOR Procedure
FREQ Procedure
GENMOD Procedure
GLM Procedure
GLMPOWER Procedure
KDE Procedure
LIFETEST Procedure
LOESS Procedure
LOGISTIC Procedure
MI Procedure
MIANALYZE Procedure
MIXED Procedure
NPAR1WAY Procedure
PHREG Procedure
POWER Procedure
Power and Sample Size Application
ROBUSTREG Procedure
SURVEYFREQ Procedure
SURVEYLOGISTIC Procedure
SURVEYMEANS Procedure
SURVEYREG Procedure
SURVEYSELECT Procedure
TPHREG Procedure
TPSPLINE Procedure
TRANSREG Procedure
References
Chapter 1: Introduction
About This Book
Where to Turn for More Information
Related SAS Software
Chapter 2: Introduction to Regression Procedures
Statistical Background
References
Chapter 3: Introduction to Analysis-of-Variance Procedures
Statistical Details for Analysis of Variance
Analysis of Variance for Fixed Effect Models
Analysis of Variance for Mixed and Random Effect Models
Analysis of Variance for Categorical Data and Generalized Linear Models
Nonparametric Analysis of Variance
Constructing Analysis of Variance Designs
References
Chapter 4: Introduction to Categorical Data Analysis Procedures
Sampling Frameworks and Distribution Assumptions
Comparison of FREQ and CATMOD Procedures
Comparison of CATMOD, GENMOD, LOGISTIC, and PROBIT Procedures
References
Chapter 5: Introduction to Multivariate Procedures
Comparison of the PRINCOMP and FACTOR Procedures
Comparison of the PRINCOMP and PRINQUAL Procedures
Comparison of the PRINCOMP and CORRESP Procedures
Comparison of the PRINQUAL and CORRESP Procedures
Comparison of the TRANSREG and PRINQUAL Procedures
References
Chapter 6: Introduction to Discriminant Procedures
References
Chapter 7: Introduction to Clustering Procedures
Clustering Variables
Clustering Observations
Characteristics of Methods for Clustering Observations
The Number of Clusters
References
Chapter 8: Introduction to Scoring, Standardization, and Ranking Procedures
Chapter 9: Introduction to Survival Analysis Procedures
Background
Survival Analysis Procedures
Survival Analysis with SASSTAT Procedures
References
Chapter 10: Introduction to Survey Procedures
The Survey Procedures
Survey Design Specification
Variance Estimation
Example
References
Chapter 11: The Four Types of Estimable Functions
Estimability
Estimable Functions
References
Chapter 12: Introduction to Nonparametric Analysis
One-Sample Tests
Two-Sample Tests
Tests for k Samples
Measures of Correlation and Associated Tests
Obtaining Ranks
Kernel Density Estimation
References
Chapter 13: Introduction to Structural Equation Modeling
Comparison of the CALIS and SYSLIN Procedures
Model Specification
Estimation Methods
Statistical Inference
Goodness-of-fit Statistics
Optimization Methods
Specifying Structural Equation Models
Some Measurement Models
A Combined Measurement-Structural Model with Reciprocal Influence and Correlated Residuals
References
Chapter 14: Using the Output Delivery System
The Output Delivery System
Examples
References
Chapter 15: Statistical Graphics Using ODS (Experimental)
Getting Started
Managing Your Graphics
Graphics Image Files
Customizing Graphics with Templates
Styles for Graphics
Details
Examples
Chapter 16: The ACECLUS Procedure
Getting Started
Syntax
Details
Example
References
Chapter 17: The ANOVA Procedure
Getting Started
Syntax
Details
Examples
References
Chapter 18: The BOXPLOT Procedure
Getting Started
Syntax
Details
Examples
References
Chapter 19: The CALIS Procedure
Getting Started
Syntax
Details
Examples
References
Chapter 20: The CANCORR Procedure
Getting Started
Syntax
Details
Example
References
Chapter 21: The CANDISC Procedure
Getting Started
Syntax
Details
Example
References
List of Figures
List of Tables
List of Outputs