Elements of Large-Sample Theory (Hardcover, 1st ed. 1999. Corr. 3rd printing 2004)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Springer Texts in Statistics
Release date:	August 2004
First published:	1999
Authors:	E. L Lehmann
Dimensions:	235 x 155 x 46mm (L x W x T)
Format:	Hardcover
Pages:	632
Edition:	1st ed. 1999. Corr. 3rd printing 2004
ISBN-13:	978-0-387-98595-4
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics
LSN:	0-387-98595-6
Barcode:	9780387985954

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