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Book synopsis

Elements of Large Sample Theory provides a unified treatment of firstorder large-sample theory. It discusses a broad range of applications including introductions to density estimation, the bootstrap, and the asymptotics of survey methodology written at an elementary level. The book 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.

Book details

Book category Books in English Mathematics & science Mathematics Probability & statistics

• Full title: Elements of Large-Sample Theory
• Author: Erich L. Lehmann
• Language: English
• Binding: Hardback
• Number of pages: 632
• EAN: 9780387985954
• ISBN: 0387985956
• ID: 05248183
• Publisher: Springer-Verlag New York Inc.
• Weight: 1124 g
• Dimensions: 241 × 170 × 46 mm
• Date of publishing: 27. August 2004

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