Introduction to Mathematical Statistics (7e)

Robert V. Hogg
Joeseph McKean
Allen T Craig
Title Introduction to Mathematical Statistics
Edition 7th
ISBN 9780321795434
ISBN 10 0321795431
Published 08/01/2012
Published by Pearson Higher Ed USA
Pages 640
Format Cloth
In stock
 
Total Price $103.95 Add to Cart
Description

Introduction to Mathematical Statistics, Seventh Edition, provides students with a comprehensive introduction to mathematical statistics. Continuing its proven approach, the Seventh Edition has been updated with new examples, exercises, and content for an even stronger presentation of the material.

 

Table of contents

1. Probability and Distributions.

2. Multivariate Distributions.

3. Some Special Distributions.

4. Some Elementary Statistical Inferences

5. Consistency and Limiting Distributions

6. Maximum Likelihood Methods.

7. Sufficiency.

8. Optimal Tests of Hypotheses.

9. Inferences about Normal Models.

10. Nonparametric and Robust Statistics.

11. Bayesian Statistics.

Appendix A. Mathematical Comments

Appendix B. R-Functions.

Appendix C. Tables of Distributions

Appendix D. List of Common Distributions

Appendix E. References

Appendix F. Answers to Selected Exercises

Index
New to this edition
  • New examples and exercises added throughout the Seventh Edition help clarify the exposition and promote students’ understanding of the concepts.
  • The discussion on some properties of linear combinations of random variables has been moved from chapter 4 to chapter 2, offering a stronger foundation for the discussion of statistical properties in chapter 3.
  • Elementary statistical inference has been moved from chapter 5 to chapter 4 and provides updated coverage of confidence intervals and statistical test of hypotheses.
  • Discussion of robustness concepts has been moved from chapter 12 to the end of chapter 10 to provide a more cohesive presentation of the material.
  • More examples of R functions added to Appendix B help readers who want to use R for statistical computation and simulation.
  • A list of discrete and continuous distributions added to Appendix D offers a quick reference and study tool for students.

 

Features & benefits
  • Classical statistical inference procedures in estimation and testing are thoroughly covered.
  • In-depth treatment of sufficiency and testing theory includes uniformly most powerful tests and likelihood ratio tests.
  • Numerous illustrative examples and exercises enhance students’ comprehension and retention as they progress through the material.
  • Definitions, equations, and theorems are set in bold type help students study more effectively.
  • The text’s flexible organization makes it ideal for use with a range of mathematical statistics courses.

 

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