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Theory of Statistics.
・ISBN 978-0-387-94546-0 hard EUR 139.99
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| 著者・編者 | Schervish, M. J., |
|---|---|
| シリーズ | Springer Series in Statistics |
| 出版社 | (Springer, GW) |
| 出版年月 | 1995 |
| ページ数 | 702 pp. |
| 言語 | ENG |
| ニュース番号 | ＜415-135 000-13451＞ |
解説
The aim of this graduate textbook is to provide a comprehensive advanced course in the theory of statistics covering those topics in estimation, testing, and large sample theory which a graduate student might typically need to learn as preparation for work on a Ph.D. An important strength of this book is that it provides a mathematically rigorous and even-handed account of both Classical and Bayesian inference in order to give readers a broad perspective. For example, the "uniformly most powerful" approach to testing is contrasted with available decision-theoretic approaches.