Figures

• 1. von Bortkiewicz's data
• 2. Mosteller & Wallace data
• 3. Poissonness plots for two discrete distributions
• 4. Ord plots for four discrete distributions
• 5. General association (sieve diagram)
• 6. Linear association (sieve diagram)
• 7. Expected frequencies under independence
• 8. Sieve diagram for hair-eye data
• 9. Vision classification data for 7477 women
• 10. Data from the US Draft Lottery
• 11. Association plot for hair-color, eye- color
• 12. Agreement chart for husbands and wives sexual fun
• 13. Weighted agreement chart.
• 14. Weighted agreement chart.
• 15. Four-fold display for Berkeley admissions
• 16. Fourfold display of Berkeley admissions, by department
• 17. Condensed mosaic for Hair-color, Eye- color data
• 18. Condensed mosaic, reordered and shaded
• 19. Mosaic display for hair color, eye color, and sex
• 20. Mosaic display for hair color, eye color, and sex
• 21. Correspondence analysis solution for Hair color, Eye color data
• 22. Two-dimensional correspondence analysis solution for the [SA] [M] multiple table
• 23. Mosaic display for sex and age
• 24. Mosaic display showing deviations from model [SA] [M]
• 25. Predicted probabilities of improvement
• 26. Quantitative predictor: Linear and Logit regression on age
• 27. Logit regression on age and treatment
• 28. Estimated effects of age, treatment and sex
• 29. Proportional odds model
• 30. Predicted probabilities for the proportional odds model
• 31. Log odds of working vs. not working, and of fulltime work vs. parttime work
• 32. Influence plot for arthritis data
• 33. Changes in chi-square vs. predicted probability
• 34. Observed log odds
• 35. Fitted logits for main effects model
• 36. Fitted logits for linear effect of Conservativism
• 37. Fitting separate slopes
• 38. Influence plot for loglinear model [AD, GD]
• 39. Standard errors of residuals decrease with expected frequency