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The revision of this well-respected text presents a balanced approach of the classical and Bayesian methods and now includes a chapter on simulation (including Markov chain Monte Carlo and the Bootstrap), coverage of residual analysis in linear models, and many examples using real data. Calculus is assumed as a prerequisite, and a familiarity with the concepts and elementary properties of vectors and matrices is a plus.
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- PublisherPearson
- Publication date2011
- ISBN 10 0321500466
- ISBN 13 9780321500465
- BindingHardcover
- Edition number4
- Number of pages912
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