Elements of Large-Sample Theory (Springer Texts in Statistics) | 
 enlarge | Author: E.l. Lehmann
Publisher: Springer
Category: Book
List Price: $99.00
Buy New: $59.40
You Save: $39.60 (40%)
New (11) Used (8) from $49.00
Rating:  3 reviews
Sales Rank: 626953
Media: Hardcover
Edition: Corrected
Pages: 631
Number Of Items: 1
Shipping Weight (lbs): 2.3
Dimensions (in): 9.3 x 6.2 x 1.3
ISBN: 0387985956
Dewey Decimal Number: 519.52
EAN: 9780387985954
Publication Date: August 27, 2004
Availability: Usually ships in 1-2 business days
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Product 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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| Customer Reviews:
another fine text by Lehmann February 13, 2008
Michael R. Chernick (Holland PA)
32 out of 32 found this review helpful
Erich Lehmann is well known for his advanced statistical texts on hypothesis testing and estimation. he has also written a nice intermediate level text on nonparametric methods based on ranks. This book is another advanced text providing a thorough treatment of asymptotic (large sample theory) methods. It is very modern and includes such popular current topics as bootstrap and density estimation.
Elements of Large Sample Theory August 26, 2006
Stats Guy (Western Australia (the real WA))
8 out of 8 found this review helpful
A very good textbook which I needed to get hold of for a uni unit I am studying. It's a bit abstract in places but worth it, very interesting reading from an experienced statistician. It came a lot quicker than I expected too, in just over 1 week, compared to 4-6 weeks which various bookshops told me I'd have to wait. Great effort Amazon!
great treatment of asymptotic theory August 8, 2000
Michael R. Chernick (Malvern, PA)
8 out of 10 found this review helpful
Erich Lehmann is well known for his advanced statistical texts on hypothesis testing and estimation. he has also written a nice intermediate level text on nonparametric methods based on ranks. This book is another advanced text providing a thorough treatment of asymptotic (large sample theory) methods. It is very modern and includes such popular current topics as bootstrap and density estimation.
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