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Additional product details

eText: 
ISBN-13 9780321694232ISBN-10 0321694236
Print: 
ISBN-10 0-321-50046-6ISBN-13 978-0-321-50046-5
Author(s): Morris H. DeGroot; Mark J. Schervish
Publisher: Pearson
Copyright year: © 2012 Pages: 912
Description

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.

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Probability & Statistics, Fourth Edition, 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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