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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. ¿ KEY TOPICS: Introduction to Probability; Conditional Probability; Random Variables and Distributions; Expectation; Special Distributions; Large Random Samples; Estimation; Sampling Distributions of Estimators; Testing Hypotheses; Categorical Data and Nonparametric Methods; Linear Statistical Models; Simulation ¿ MARKET: For all readers interested in probability and statistics.
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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.
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Probability and Statistics (4th Edition)
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Probability and Statistics (4th Edition)
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Hardcover. Zustand: Fair. 4th Edition. Fourth edition. Cover shows signs of shelf wear. Hinge slightly split along front free end papers and back cover, but all pages remain securely intact with no marks or highlighting. NOT the International Edition. Indexed. 893 pages. Bestandsnummer des Verkäufers ABE-1756156633794
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Probability and Statistics (4th Edition)
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Probability and Statistics (4th Edition)
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Probability and Statistics (4th Edition)
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Probability and Statistics (4th Edition)
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Probability and Statistics (4th Edition)
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