Introduction | |
New section on stem-leaf displays, computation of sample percentiles, and box plots | |
Elimination of lower-case lettering to represent deviations from a sample mean | |
Expanded to indicate computer packages available to simulate normal distributions | |
Addition of Shapiro-Wilk and Kolmogorov-Smirnov tests; improved explanation of kurtosis and sample size determination | |
More accurate sample size determination for comparing two means | |
More accurate method for constructing a confidence interval when sample size is small | |
Improved explanation of rank sum test | |
New section on non-parametric methods for comparing several populations | |
Add formulas for 95% prediction intervals, added section on replication and lack-of-fit | |
No changes | |
Add section to provide references to use of log-linear models for higher dimensional tables | |
New chapter to show how to use logistic regression to model trends in proportions and how to apply Poisson regression models to count data | |
Add discussion of REML estimation | |
May only change chapter title | |
Expanded discussion of missing data and provide more recent references to the diagnostic techniques presented and discussions of the consequences of failures of model assumptions | |
Added section to explain the use of half normal plots to determine the significance of effects when there is no replication | |
Additional diagnostic procedures for assessing the fit of models and the influence of individual observations | |
Update references | |
Added section on the use of a model free procedure for fitting a smooth curve to a plot | |
New illustrations and updated references | |
No major changes | |
New chapter will illustrate the analysis of time to event data. It will introduce the exponential, log-normal and Weibull distributions, and the Kaplan-Meier estimators of survival curves and log-rank tests for comparing estimates of survival curves for several populations | |
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