| 书目名称 | Elements of Large-Sample Theory | | 编辑 | E. L. Lehmann | | 视频video | | | 概述 | Author is one of the most important figures in modern statistics as well as a great expositor.Unique approach brings a unified treatment to a topic that is usually lost by some at a lower level of sta | | 丛书名称 | Springer Texts in Statistics | | 图书封面 |  | | 描述 | .Elements of Large-Sample Theory. provides a unified treatment of first- order large-sample theory. It discusses a broad range of applications including introductions to density estimation, the bootstrap, and the asymptotics of survey methodology. The book is written at an elementary level and is suitable for students at the master‘s level in statistics and in aplied fields who have a background of two years of calculus...E.L. Lehmann is Professor of Statistics Emeritus at the University of California, Berkeley. He is a member of the National Academy of Sciences and the American Academy of Arts and Sciences, and the recipient of honorary degrees from the University of Leiden, The Netherlands, and the University of Chicago. ..Also available: ..Lehmann/Casella, Theory at Point Estimation, 2nd ed. Springer-Verlag New York, Inc., 1998, ISBN 0- 387-98502-6..Lehmann, Testing Statistical Hypotheses, 2nd ed. Springer-Verlag New York, Inc., 1997, ISBN 0-387-94919-4. | | 出版日期 | Textbook 1999 | | 关键词 | Calc; DEX; Large Sample Methods; Mathematica; Statistica; calculus; convergence; estimator; form; large Sampl | | 版次 | 1 | | doi | https://doi.org/10.1007/b98855 | | isbn_softcover | 978-1-4419-3136-8 | | isbn_ebook | 978-0-387-22729-0Series ISSN 1431-875X Series E-ISSN 2197-4136 | | issn_series | 1431-875X | | copyright | Springer Science+Business Media New York 1999 |
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发表于 2025-3-21 19:30:41
