The third edition of Testing Statistical Hypotheses updates and expands upon the classic graduate text, emphasizing optimality theory for hypothesis testing and confidence sets. The principal additions include a rigorous treatment of large sample optimality, together with the requisite tools. In addition, an introduction to the theory of resampling methods such as the bootstrap is developed. The sections on multiple testing and goodness of fit testing are expanded. The text is suitable for Ph.D. students in statistics and includes over 300 new problems out of a total of more than 760.
| ISBN: | 9780387988641 |
| Publication date: | 26th August 2008 |
| Author: | E L Lehmann, Joseph P Romano |
| Publisher: | Springer an imprint of Springer New York |
| Format: | Hardback |
| Pagination: | 784 pages |
| Series: | Springer Texts in Statistics |
| Genres: |
Probability and statistics |
The third edition of Testing Statistical Hypotheses updates and expands upon the classic graduate text, emphasizing optimality theory for hypothesis testing and confidence sets. The principal additions include a rigorous treatment of large sample optimality, together with the requisite tools.
Testing Statistical Hypotheses features in the following genres: Probability and statistics
Hardback. Not Available.
Testing Statistical Hypotheses was written by E L Lehmann, Joseph P Romano and published by Springer an imprint of Springer New York
Testing Statistical Hypotheses has 784 pages
Yes it is part of Springer Texts in Statistics series