The revision of this well-respected text presents a balanced approach of the classical and Bayesian methods and now includes a new chapter on simulation (including Markov chain Monte Carlo and the Bootstrap), expanded coverage of residual analysis in linear models, and more examples using real data. Probability & Statistics was written for a one or two semester probability and statistics course 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.
Introduction to Probability; Conditional Probability; Random Variables and Distribution; Expectation; Special Distributions; Estimation; Sampling Distributions of Estimators; Testing Hypotheses; Categorical Data and Nonparametric Methods; Linear Statistical Models; Simulation
For all readers interested in probability and statistics.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Da: Skoob-ebooks, Pontiac, QC, Canada
Hardcover. Condizione: Very Good. Hardcover. Minor wear only. Clean with no highlighting or writing detected on any pages. 30-day return policy. Free shipping within Canada. For shipments outside of Canada, custom duties or other charges may be levied on receipt. ; 3Rd Edition; 7.8 X 1.665 X 8.76 inches; 816 pages. Codice articolo 6996
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Da: Anybook.com, Lincoln, Regno Unito
Condizione: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In fair condition, suitable as a study copy. Library sticker on front cover. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1426grams, ISBN:9780201524888. Codice articolo 9768134
Quantità: 1 disponibili