Probability and Statistics, Pearson New International Edition, 4th edition
Published by Pearson (August 29, 2013) © 2014
- Morris H. DeGroot Carnegie-Mellon University
- Mark J. Schervish Carnegie-Mellon University
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Title overview
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.
Probability & Statistics was written for a one- or two-semester probability and statistics course. This course is offered primarily at four-year institutions and taken mostly by sophomore and junior level students majoring in mathematics or statistics. Calculus is a prerequisite, and a familiarity with the concepts and elementary properties of vectors and matrices is a plus.
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