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.
General
| Imprint: |
Springer Nature Switzerland AG
|
| Country of origin: |
Switzerland |
| Series: |
Springer Texts in Statistics |
| Release date: |
June 2023 |
| Authors: |
E. L Lehmann
• Joseph P. Romano
|
| Dimensions: |
235 x 155mm (L x W) |
| Pages: |
1012 |
| Edition: |
4th ed. 2022 |
| ISBN-13: |
978-3-03-070580-0 |
| Categories: |
Books
Promotions
|
| LSN: |
3-03-070580-3 |
| Barcode: |
9783030705800 |
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