| 書目名稱 | Series Approximation Methods in Statistics |
| 編輯 | John E. Kolassa |
| 視頻video | http://file.papertrans.cn/866/865442/865442.mp4 |
| 叢書名稱 | Lecture Notes in Statistics |
| 圖書封面 |  |
| 描述 | This book was originally compiled for a course I taught at the University of Rochester in the fall of 1991, and is intended to give advanced graduate students in statistics an introduction to Edgeworth and saddlepoint approximations, and related techniques. Many other authors have also written monographs on this sub- ject, and so this work is narrowly focused on two areas not recently discussed in theoretical text books. These areas are, first, a rigorous consideration of Edgeworth and saddlepoint expansion limit theorems, and second, a survey of the more recent developments in the field. In presenting expansion limit theorems I have drawn heavily on notation of McCullagh (1987) and on the theorems presented by Feller (1971) on Edgeworth expansions. For saddlepoint notation and results I relied most heavily on the many papers of Daniels, and a review paper by Reid (1988). Throughout this book I have tried to maintain consistent notation and to present theorems in such a way as to make a few theoretical results useful in as many contexts aS possible. This was not only in order to present as many results with as few proofs as possible, but more importantly to show the interconnection |
| 出版日期 | Book 19972nd edition |
| 關(guān)鍵詞 | Calc; boundary element method; calculus; character; complex analysis; computation; distribution; field; form |
| 版次 | 2 |
| doi | https://doi.org/10.1007/978-1-4757-4277-0 |
| isbn_ebook | 978-1-4757-4277-0Series ISSN 0930-0325 Series E-ISSN 2197-7186 |
| issn_series | 0930-0325 |
| copyright | Springer Science+Business Media New York 1997 |
|Archiver|手機版|小黑屋|
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