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Table of Contents
|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|
|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|
|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|
|Table of Contents provided by Publisher. All Rights Reserved.|