Description
PASW Statistics 18 Advanced Statistical Procedures contains valuable tips, warnings, and examples that will help you take advantage of PASW (formerly SPSS) to better analyze data. This book offers clear and concise explanations and examples of advanced statistical procedures in the PASW Advanced and Regression modules.
Table of Contents
1. Model Selection Loglinear Analysis
2. Logit Loglinear Analysis
3. Multinomial Logistic Regression
4. Ordinal Regression
5. Probit Regression
6. Kaplan-Meier Survival Analysis
7. Life Tables
8. Cox Regression
9. Variance Components
10. Linear Mixed Models
11. Generalized Linear Models
12. Generalized Estimating Equations
13. Nonlinear Regression
14. Two-Stage Least-Squares Regression
15. Weighted Least-Squares Regression
16. Multidimensional Scaling
2. Logit Loglinear Analysis
3. Multinomial Logistic Regression
4. Ordinal Regression
5. Probit Regression
6. Kaplan-Meier Survival Analysis
7. Life Tables
8. Cox Regression
9. Variance Components
10. Linear Mixed Models
11. Generalized Linear Models
12. Generalized Estimating Equations
13. Nonlinear Regression
14. Two-Stage Least-Squares Regression
15. Weighted Least-Squares Regression
16. Multidimensional Scaling
PASW Statistics 18 Advanced Statistical Procedures
This title is currently unavailable on myPearsonStore.
We recommend
IBM SPSS Statistics 19 Advanced Statistical Procedures Companion as a replacement.
