| 书目名称 | The Bootstrap and Edgeworth Expansion | | 编辑 | Peter Hall | | 视频video | | | 丛书名称 | Springer Series in Statistics | | 图书封面 |  | | 描述 | This monograph addresses two quite different topics, in the belief that each can shed light on the other. Firstly, it lays the foundation for a particular view of the bootstrap. Secondly, it gives an account of Edgeworth expansion. Chapter 1 is about the bootstrap, witih almost no mention of Edgeworth expansion; Chapter 2 is about Edgeworth expansion, with scarcely a word about the bootstrap; and Chapters 3 and 4 bring these two themes together, using Edgeworth expansion to explore and develop the properites of the bootstrap. The book is aimed a a graduate level audience who has some exposure to the methods of theoretical statistics. However, technical details are delayed until the last chapter (entitled "Details of Mathematical Rogour"), and so a mathematically able reader without knowledge of the rigorous theory of probability will have no trouble understanding the first four-fifths of the book. The book simultaneously fills two gaps in the literature; it provides a very readable graduate level account of the theory of Edgeworth expansion, and it gives a detailed introduction to the theory of bootstrap methods. | | 出版日期 | Book 1992 | | 关键词 | probability; Resampling; statistics; Variance | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4612-4384-7 | | isbn_softcover | 978-0-387-94508-8 | | isbn_ebook | 978-1-4612-4384-7Series ISSN 0172-7397 Series E-ISSN 2197-568X | | issn_series | 0172-7397 | | copyright | Springer Science+Business Media New York 1992 |
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发表于 2025-3-21 16:29:14
