Morris H. Degroot, Mark J. Schervish

Probability and Statistics (eBook, PDF)

Pearson New International Edition

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Pearson HigherEducation
• Seitenzahl: 848
• Erscheinungstermin: 29. August 2013
• Englisch
• ISBN-13: 9781292037677
• Artikelnr.: 41939707

Inhaltsangabe

1. Introduction to Probability
2. Conditional Probability
3. Random Variables and Distributions
4. Expectation
5. Special Distributions
6. Large Random Samples
7. Estimation
8. Sampling Distributions of Estimators
9. Testing Hypotheses
10. Categorical Data and Nonparametric Methods
11. Linear Statistical Models