This book presents some of the most recent developments and classical methods in Multivariate Analysis of Variance (MANOVA), Repeated Measures, and Growth Curves. It attempts to deal with the problem of poor approximations by offering more exact methods for data analysis. Through examples such as following the change in consumer demand of a product over time and analyzing data from clinical trials, Exact Methods in MANOVA, Mixed Models, and Repeated Measures shows readers how these methods are more useful and more accurate in predicting results.