Introduction to Mathematical Statistics
United States Edition
6th Edition
Published on 2. July 2004
Book
Hardback
692 pages
978-0-13-008507-8 (ISBN)
Description
For one or two-semester, undergraduate mathematical statistics course, or for beginning graduate courses in mathematical statistics.
This classic text retains its outstanding features and continues to provide students with excellent background in the mathematics of statistics. Extensively revised with three new chapters.
This classic text retains its outstanding features and continues to provide students with excellent background in the mathematics of statistics. Extensively revised with three new chapters.
Reviews / Votes
"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
More details
Edition
6th edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Height: 181 mm
Width: 242 mm
Thickness: 28 mm
Weight
1129 gr
ISBN-13
978-0-13-008507-8 (9780130085078)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Robert Hogg | Joseph McKean | Allen Craig
Introduction to Mathematical Statistics
Book
12/2011
7th Edition
Pearson
€220.07
Article exhausted; check different version
Content
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.
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.