| 書目名稱 | Elements of Large-Sample Theory | | 編輯 | E. L. Lehmann | | 視頻video | http://file.papertrans.cn/308/307598/307598.mp4 | | 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 | | 叢書名稱 | Springer Texts in Statistics | | 圖書封面 |  | | 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 | | 關(guān)鍵詞 | 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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