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 ( Markov chain Monte Carlo and the Bootstrap), coverage of residual analysis in linear models, and many examples using real data.

& Statistics, Fourth , was written for a one- or two-semester and statistics course. This course is offered primarily at four-year institutions and taken mostly by sophomore and junior level majoring in mathematics or statistics. Calculus is a prerequisite, and a familiarity with the and elementary properties of vectors and matrices is a plus.

1. Introduction to Probability
2. Conditional Probability
3. Random 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 Statistical 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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