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Probability and Statistics, 4th edition

  • Morris H. DeGroot
  • Mark J. Schervish

Published by Pearson (December 27th 2010) - Copyright © 2012

4th edition

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Probability and Statistics

ISBN-13: 9780321500465

Includes: Hardcover
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$181.32 $226.65

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  • Hardcover

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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. Calculus is assumed as a prerequisite, and a familiarity with the concepts and elementary properties of vectors and matrices is a plus.

Table of contents

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

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