Desktop data analysis with SYSTAT
Generate an AI Snapshot to get a quick, structured summary of this paper.
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
I. PREDICTING CATEGORICAL VARIABLES FROM CATEGORICAL VARIABLES. 1. Simple Tables. 2. Measuring Associations in Two-Way Tables. 3. Prediction Using Log-Linear Models. II. PREDICTING CONTINUOUS VARIABLES FROM CONTINUOUS VARIABLES. 4. Simple Linear Relationships. 5. Multiple Regression. 6. Regression on Time Series Data. 7. Problems With Your Data. 8. Modeling Continuous Data. III. PREDICTING CONTINUOUS VARIABLES FROM CATEGORICAL VARIABLES. 9. One-way Analysis of Variance. 10. Multi-way ANOVA. 11. Univariate Analysis of Experimental Data. 12. Analysis of Covariance. 13. Multivariate Analysis of Variance. 14. Repeated Measures. IV. PREDICTING CATEGORICAL VARIABLES FROM CONTINUOUS VARIABLES. 15. Regression with Categorical Dependent Variables. 16. Classification and Discriminant Analysis. V. ANALYSIS OF SERIES. 17. Forecasting Using ARIMA Models. 18. Detecting Patterns in Time Series. VI. FINDING ASSOCIATIONS OR GROUPS. 19. Cluster Analysis. 20. Principal Components and Factor Analysis. 21. Multidimensional Scaling. VII. STATISTICAL TOPICS. 22. Transformations. 23. Similarity, Dissimilarity and Distance. 24. Graphics.