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Probability & Statistics, 4th Edition is a revision of the well-respected text. It 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 a prerequisite, and a familiarity with the concepts and elementary properties of vectors and matrices is a plus. This title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed titles at a value price.

This reference has been designed for statisticians engaged as expert witnesses in legal proceedings. Examining the relationship between statistical methods and the law, it describes a number of cases during which the analysis of statistics was an important factor in determining the outcome.