Elements of Large-Sample Theory

ISBN-10: 0387985956

ISBN-13: 9780387985954

Edition: 2nd 1999

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Description:

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 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. Also available: E.L. Lehmann and George Casella, Theory at Point Estimation, Second Edition. Springer-Verlag New York, Inc., 1998, 640 pp., Cloth, ISBN 0-387-98502-6. E.L. Lehmann, Testing Statistical Hypotheses, Second Edition. Springer-Verlag New York, Inc., 1997, 624 pp., Cloth, ISBN 0-387-94919-4.
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Book details

List price: $109.00
Edition: 2nd
Copyright year: 1999
Publisher: Springer
Publication date: 8/27/2004
Binding: Hardcover
Pages: 632
Size: 6.25" wide x 9.75" long x 1.25" tall
Weight: 2.640
Language: English

Preface
Mathematical Background
Convergence in Probability and in Law
Performance of Statistical Tests
Estimation
Multivariate Extensions
Nonparametric Estimation
Efficient Estimators and Tests
Appendix
References
Author Index
Subject Index
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