Probability and Statistics (PDF)
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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.
Probability & Statistics was written for a one- or two-semester probability and statistics course. This course is 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.
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- Autoren: Morris H. DeGroot , Mark J. Schervish
- 2013, 4. Auflage, 848 Seiten, Englisch
- Verlag: PEARSON HIGHER EDUCATION
- ISBN-10: 1292037679
- ISBN-13: 9781292037677
- Erscheinungsdatum: 29.08.2013
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