Probability and Statistics (Classic Version)

Morris deGroot, Mark Schervish (Autoren)

Buch | Softcover

912 Seiten

2018 | 4th edition
Addison Wesley (Verlag)
978-0-13-499547-2 (ISBN)

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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, Fourth Edition, 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.

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

12. Simulation

Erscheinungsdatum	29.04.2018
Reihe/Serie	Pearson Modern Classics for Advanced Statistics Series
Verlagsort	Boston
Sprache	englisch
Maße	198 x 251 mm
Gewicht	1338 g
Themenwelt	Mathematik / Informatik ► Mathematik ► Statistik
Themenwelt	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
ISBN-10	0-13-499547-3 / 0134995473
ISBN-13	978-0-13-499547-2 / 9780134995472
Zustand	Neuware