Introduction to Mathematical Statistics

Introduction to Mathematical Statistics : International Edition

3.54 (74 ratings by Goodreads)
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For two-semester, beginning graduate courses in Mathematical Statistics, and for senior undergraduate Mathematics, Statistics, and Actuarial Science majors, this text retains its outstanding ongoing features and continues to provide students with excellent background material necessary for a successful understanding of mathematical statistics.
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Product details

  • Paperback | 692 pages
  • 180 x 235 x 21mm | 1,025g
  • Pearson
  • United States
  • 6th edition
  • 0131226053
  • 9780131226050
  • 1,545,363

Table of contents

1. Probability and Distribution.

2. Multivariate Distributions.

3. Some Special Distributions.

4. Unbiasedness, Consistency, and Limiting Distributions.

5. Introduction to Inference.

6. Maximum Likelihood Methods.

7. Sufficiency.

8. Optimal Tests of Hypotheses.

9. Inferences about Normal Models.

10. Nonparametric Statistics.

11. Bayesian Statistics.

12. Comparison of Least Squares and Robust Procedures for Linear Models.

Appendix A. Regularity Conditions.

Appendix B. R-Functions.
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Review quote

"The writing style is exceptionally clear; also in the more advanced portion, I haven't any reservations about use. It is a much more professional and modern text than ours. I would seriously consider adopting the text if I teach it again and shall suggest it to my colleagues." - Walter Freiberger, Brown University

"The Hogg/McKean/Craig revision stands out as a modernized version of Hogg and Craig. This revision enhances considerably the statistical inference part with discussion of new procedures and methods, and puts in perspective a broad array of modern statistical methods." - Hosam Mahmoud, George Washington University
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Rating details

74 ratings
3.54 out of 5 stars
5 30% (22)
4 24% (18)
3 27% (20)
2 8% (6)
1 11% (8)
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