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.
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Paperback. Condition: New. Probability and 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. Seller Inventory # LU-9780134995472
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Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Paperback. Condition: New. Probability and 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. Seller Inventory # LU-9780134995472
Quantity: Over 20 available
Seller: Rarewaves USA United, HEBRON, KY, U.S.A.
Paperback. Condition: New. Probability and 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. Seller Inventory # LU-9780134995472
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Paperback. Condition: Brand New. 4th edition. 893 pages. 10.00x8.00x2.00 inches. In Stock. Seller Inventory # x-0134995473
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