Probability and Statistics (4th Edition)
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Probability and Statistics (4th Edition)
<P style="MARGIN: 0px" soNormal>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.</P>
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