Fourth edition
Paperback (06 Aug 2013)
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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: | 9781292025049 |
| Publisher: | Pearson Education |
| Imprint: | Pearson |
| Pub date: | 06 Aug 2013 |
| Edition: | Fourth edition |
| DEWEY: | 519.2 |
| DEWEY edition: | 23 |
| Language: | English |
| Number of pages: | 840 |
| Weight: | 1812g |
| Height: | 214mm |
| Width: | 276mm |
| Spine width: | 27mm |
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