Generalized Inference in Repeated Measures

"Generalized inference in Multivariate Analysis of Variance (MANOVA), mixed models, and growth curves offer exact methods of data analysis under milder conditions without deviating from the conventional philosophy of statistical inference. Generalized Inference in Repeated Measures is a concise, self-contained guide to the use of these innovative solutions, presenting them as extensions of - rather than alternatives to - classical methods of statistical evaluation. Requiring minimal prior knowledge of statistical concepts in the evaluation of linear models, the book provides exact parametric methods for each application considered, with solutions presented in terms of generalized p-values." "With a comprehensive set of formulas, illustrative examples, and exercises in each chapter. Generalized Inference in Repeated Measures is ideal as both a comprehensive reference for research professionals and a text for students."--BOOK JACKET.