
Introduction to Mathematical Statistics
International Edition
Pearson (Publisher)
7th Edition
Published on 24. October 2012
Book
Paperback/Softback
640 pages
978-0-321-82467-7 (ISBN)
Article exhausted; check for reprint
Description
Introduction to Mathematical Statistics, Seventh Edition, offers a proven approach designed to provide you with an excellent foundation in mathematical statistics. Ample examples and exercises throughout the text illustrate concepts to help you gain a solid understanding of the material.
More details
Edition
7th edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
College/higher education
Dimensions
Height: 222 mm
Width: 174 mm
Thickness: 22 mm
Weight
856 gr
ISBN-13
978-0-321-82467-7 (9780321824677)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions

Robert Hogg | Joeseph McKean | Allen Craig
Introduction to Mathematical Statistics: Pearson New International Edition
Book
07/2013
7th Edition
Pearson Education Limited
€89.32
Article exhausted; check for reprint
Previous edition

Robert V. Hogg | Allen T. Craig | Joseph W. McKean
Introduction to Mathematical Statistics
International Edition
Book
07/2004
6th Edition
Pearson
€61.89
Article exhausted; check for reprint
Content
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
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