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Overview
This graduate textbook covers topics in statistical theory essential for graduate students preparing for work on a Ph.D. degree in statistics. This new edition has been revised and updated and in this fourth printing, errors have been ironed out. The first chapter provides a quick overview of concepts and results in measure-theoretic probability theory that are useful in statistics. The second chapter introduces some fundamental concepts in statistical decision theory and inference. Subsequent chapters contain detailed studies on some important topics: unbiased estimation, parametric estimation, nonparametric estimation, hypothesis testing, and confidence sets. A large number of exercises in each chapter provide not only practice problems for students, but also many additional results.
| ISBN-13 | 9781441929785 |
|---|---|
| ISBN-10 | 1441929789 |
| Weight | 2.03 Pounds |
| Dimensions | 6.10 x 1.37 x 9.25 In |
| List Price | $129.99 |
| Edition | 2nd Edition |
| Format | Paperback |
|---|---|
| Language | English |
| Pages | xvi, 592 pages |
| Publisher | Springer |
| Published On | 2010-12-01 |
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