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Titel: Generalized Inference in Repeated Measures: ...
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Gently used. Expect delivery in 2-3 weeks. Buchnummer des Verkäufers 9780471470175-3
Inhaltsangabe: A complete guide to powerful and practical statistical modeling using MANOVA
Numerous statistical applications are time dependent. Virtually all biomedical, pharmaceutical, and industrial experiments demand repeated measurements over time. The same holds true for market research and analysis. Yet conventional methods, such as the Repeated Measures Analysis of Variance (Rm ANOVA), do not always yield exact solutions, obliging practitioners to settle for asymptotic results and approximate solutions. 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. Coverage includes:
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.
Über den Autor: SAMARADASA WEERAHANDI, PhD, is Director of Statistics at TDS, Time Warner. The author of more than fifty papers and contributor to three edited volumes, he is a Fellow of the American Statistical Association. He received his PhD from the University of British Columbia.
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