| 书目名称 | Theory of Statistics |
| 编辑 | Mark J. Schervish |
| 视频video | |
| 丛书名称 | Springer Series in Statistics |
| 图书封面 |  |
| 描述 | 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. |
| 出版日期 | Textbook 1995 |
| 关键词 | ANOVA; Estimator; Likelihood; Probability distribution; Probability theory; Variance; bayesian statistics; |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4612-4250-5 |
| isbn_softcover | 978-1-4612-8708-7 |
| isbn_ebook | 978-1-4612-4250-5Series ISSN 0172-7397 Series E-ISSN 2197-568X |
| issn_series | 0172-7397 |
| copyright | Springer-Verlag New York, Inc. 1995 |
发表于 2025-3-21 16:06:49
