4th Edition
Hardback (07 Dec 2010)
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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.
| ISBN: | 9780321500465 |
| Publisher: | Pearson Education |
| Imprint: | Pearson |
| Pub date: | 07 Dec 2010 |
| Edition: | 4th Edition |
| DEWEY: | 519.2 |
| DEWEY edition: | 22 |
| Number of pages: | 893 |
| Weight: | 1580g |
| Height: | 254mm |
| Width: | 203mm |
| Spine width: | 33mm |
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