Acknowledgments
What's New in SAS/STAT 14.1
Getting Started/Overview
Introductions
Shared Concepts
Using the Output Delivery System
Statistical Graphics Using ODS
Procedures
The ACECLUS Procedure
The ADAPTIVEREG Procedure
The ANOVA Procedure
The BCHOICE Procedure
The BOXPLOT Procedure
The CALIS Procedure
Overview: CALIS Procedure
Getting Started: CALIS Procedure
Syntax: CALIS Procedure
Details: CALIS Procedure
- Input Data Sets
- Output Data Sets
- Default Analysis Type and Default Parameterization
- The COSAN Model
- The FACTOR Model
- The LINEQS Model
- The LISMOD Model and Submodels
- The MSTRUCT Model
- The PATH Model
- The RAM Model
- Naming Variables and Parameters
- Setting Constraints on Parameters
- Automatic Variable Selection
- Path Diagrams: Layout Algorithms, Default Settings, and Customization
- Estimation Criteria
- Relationships among Estimation Criteria
- Gradient, Hessian, Information Matrix, and Approximate Standard Errors
- Counting the Degrees of Freedom
- Assessment of Fit
- Case-Level Residuals, Outliers, Leverage Observations, and Residual Diagnostics
- Latent Variable Scores
- Total, Direct, and Indirect Effects
- Standardized Solutions
- Modification Indices
- Missing Values and the Analysis of Missing Patterns
- Measures of Multivariate Kurtosis
- Initial Estimates
- Use of Optimization Techniques
- Computational Problems
- Displayed Output
- ODS Table Names
- ODS Graphics
Examples: CALIS Procedure- References
The CANCORR Procedure
The CANDISC Procedure
The CATMOD Procedure
Overview: CATMOD Procedure
Getting Started: CATMOD Procedure
Syntax: CATMOD Procedure
Details: CATMOD Procedure
Examples: CATMOD Procedure
- Linear Response Function, r=2 Responses
- Mean Score Response Function, r=3 Responses
- Logistic Regression, Standard Response Function
- Log-Linear Model, Three Dependent Variables
- Log-Linear Model, Structural and Sampling Zeros
- Repeated Measures, 2 Response Levels, 3 Populations
- Repeated Measures, 4 Response Levels, 1 Population
- Repeated Measures, Logistic Analysis of Growth Curve
- Repeated Measures, Two Repeated Measurement Factors
- Direct Input of Response Functions and Covariance Matrix
- Predicted Probabilities
- References
The CLUSTER Procedure
The CORRESP Procedure
The DISCRIM Procedure
The DISTANCE Procedure
The FACTOR Procedure
The FASTCLUS Procedure
The FMM Procedure
The FREQ Procedure
The GAM Procedure
The GAMPL Procedure
The GEE Procedure
The GENMOD Procedure
The GLIMMIX Procedure
The GLM Procedure
The GLMMOD Procedure
The GLMPOWER Procedure
The GLMSELECT Procedure
The HPCANDISC Procedure
The HPFMM Procedure
The HPGENSELECT Procedure
The HPLMIXED Procedure
The HPLOGISTIC Procedure
The HPMIXED Procedure
The HPNLMOD Procedure
The HPPLS Procedure
The HPPRINCOMP Procedure
The HPQUANTSELECT Procedure
The HPREG Procedure
The HPSPLIT Procedure
The ICLIFETEST Procedure
The ICPHREG Procedure
The INBREED Procedure
The IRT Procedure
The KDE Procedure
The KRIGE2D Procedure
The LATTICE Procedure
The LIFEREG Procedure
The LIFETEST Procedure
The LOESS Procedure
The LOGISTIC Procedure
The MCMC Procedure
The MDS Procedure
The MI Procedure
The MIANALYZE Procedure
The MIXED Procedure
The MODECLUS Procedure
The MULTTEST Procedure
The NESTED Procedure
The NLIN Procedure
The NLMIXED Procedure
The NPAR1WAY Procedure
The ORTHOREG Procedure
The PHREG Procedure
The PLAN Procedure
The PLM Procedure
The PLS Procedure
The POWER Procedure
The Power and Sample Size Application
The PRINCOMP Procedure
The PRINQUAL Procedure
The PROBIT Procedure
The QUANTLIFE Procedure
The QUANTREG Procedure
The QUANTSELECT Procedure
The REG Procedure
The ROBUSTREG Procedure
The RSREG Procedure
The SCORE Procedure
The SEQDESIGN Procedure
The SEQTEST Procedure
The SIM2D Procedure
The SIMNORMAL Procedure
The SPP Procedure
The STDIZE Procedure
The STDRATE Procedure
The STEPDISC Procedure
The SURVEYFREQ Procedure
The SURVEYIMPUTE Procedure
The SURVEYLOGISTIC Procedure
The SURVEYMEANS Procedure
The SURVEYPHREG Procedure
The SURVEYREG Procedure
The SURVEYSELECT Procedure
The TPSPLINE Procedure
The TRANSREG Procedure
The TREE Procedure
The TTEST Procedure
The VARCLUS Procedure
The VARCOMP Procedure
The VARIOGRAM Procedure
Special SAS Data Sets
Sashelp Data Sets
Analysis of Variance
Bayesian Analysis
Categorical Data Analysis
Cluster Analysis
Descriptive Statistics
Discriminant Analysis
Distribution Analysis
Exact Inference
Finite Mixture Models
Group Sequential Design and Analysis
Longitudinal Data Analysis
Market Research
Missing Data Analysis
Mixed Models
Model Selection
Multivariate Analysis
Nonlinear Regression
Nonparametric Analysis
Nonparametric Regression
Post Processing
Power and Sample Size
Predictive Modeling
Psychometric Analysis
Quantile Regression
Regression
Robust Regression
Spatial Analysis
Standardization
Structural Equations Models
Survey Sampling and Analysis
Survival Analysis
Product | Release |
---|
SAS/STAT | 14.1 |
- Type
- Usage and Reference
- Copyright Date
- July 2015
- Last Updated
- 02Nov2015