| 书目名称 | Theoretical Statistics | | 副标题 | Topics for a Core | | 编辑 | Robert W. Keener | | 视频video | | | 概述 | Comprehensive coverage of estimation and hypothesis testing, frequentist and Bayesian paradigms, large and small sample methods, and the theory underlying numerical algorithms.Detailed and rigorous ex | | 丛书名称 | Springer Texts in Statistics | | 图书封面 |  | | 描述 | .Intended as the text for a sequence of advanced courses, this book covers major topics in theoretical statistics in a concise and rigorous fashion. The discussion assumes a background in advanced calculus, linear algebra, probability, and some analysis and topology. Measure theory is used, but the notation and basic results needed are presented in an initial chapter on probability, so prior knowledge of these topics is not essential..The presentation is designed to expose students to as many of the central ideas and topics in the discipline as possible, balancing various approaches to inference as well as exact, numerical, and large sample methods. Moving beyond more standard material, the book includes chapters introducing bootstrap methods, nonparametric regression, equivariant estimation, empirical Bayes, and sequential design and analysis..The book has a rich collection of exercises. Several of them illustrate how the theory developed in the book may be used in various applications. Solutions to many of the exercises are included in an appendix.. | | 出版日期 | Textbook 2010 | | 关键词 | Estimator; Likelihood; decision theory; estimation; hypothesis testing; large sample theory | | 版次 | 1 | | doi | https://doi.org/10.1007/978-0-387-93839-4 | | isbn_softcover | 978-1-4614-2670-7 | | isbn_ebook | 978-0-387-93839-4Series ISSN 1431-875X Series E-ISSN 2197-4136 | | issn_series | 1431-875X | | copyright | Springer Science+Business Media, LLC 2010 |
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发表于 2025-3-21 18:10:10
