| Testing Statistical Hypotheses 2005. Corr. 2nd Edition Contributor(s): Lehmann, Erich L. (Author), Romano, Joseph P. (Author) |
|
 |
ISBN: 0387988645 ISBN-13: 9780387988641 Publisher: Springer OUR PRICE: $113.99 Product Type: Hardcover - Other Formats Published: May 2005 * Not available - Not in print at this time *Annotation: This classic textbook, now available from Springer, summarizes developments in the field of hypotheses testing. Optimality considerations continue to provide the organizing principle. However, they are now tempered by a much stronger emphasis on the robustness properties of the resulting procedures. This book is an essential reference for any graduate student in statistics. |
| Additional Information |
| BISAC Categories: - Mathematics | Probability & Statistics - General |
| Dewey: 519.56 |
| LCCN: 2004051464 |
| Series: Springer Texts in Statistics |
| Physical Information: 2" H x 6.4" W x 9.3" (2.78 lbs) 786 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: The Third Edition of Testing Statistical Hypotheses brings it into consonance with the Second Edition of its companion volume on point estimation (Lehmann and Casella, 1998) to which we shall refer as TPE2. We won't here comment on the long history of the book which is recounted in Lehmann (1997) but shall use this Preface to indicate the principal changes from the 2nd Edition. The present volume is divided into two parts. Part I (Chapters 1-10) treats small-sample theory, while Part II (Chapters 11-15) treats large-sample theory. The preface to the 2nd Edition stated that "the most important omission is an adequate treatment of optimality paralleling that given for estimation in TPE." We shall here remedy this failure by treating the di?cult topic of asymptotic optimality (in Chapter 13) together with the large-sample tools needed for this purpose (in Chapters 11 and 12). Having developed these tools, we use them in Chapter 14 to give a much fuller treatment of tests of goodness of 't than was possible in the 2nd Edition, and in Chapter 15 to provide an introduction to the bootstrap and related techniques. Various large-sample considerations that in the Second Edition were discussed in earlier chapters now have been moved to Chapter 11. |
