Probability And Statistics – M. DeGroot, M. Schervish – 4th Edition

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. is a prerequisite, and a familiarity with the and elementary properties of vectors and matrices is a plus.

1. to Probability
2. Conditional Probability
3. Variables and
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 Models
12. Simulation

Title: Probability And Statistics
Author: Morris H. DeGroot / Mark J. Schervish
Edition: 4th Edition
ISBN: 0321500466 | 9780321500465
Type: eBook
Language: English

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