Elements of large sample theory / E.L. Lehmann.

Format:

Book

Author/Creator:

Lehmann, E. L. (Erich Leo), 1917-2009.

Contributor:

Anne and Joseph Trachtman Memorial Book Fund.

Series:

Springer texts in statistics

Language:

English

Subjects (All):

Sampling (Statistics).

Asymptotic distribution (Probability theory).

Law of large numbers.

Physical Description:

xii, 631 pages : illustrations ; 24 cm.

Edition:

Corrected third printing.

Other Title:

Large sample theory

Place of Publication:

New York : Springer, 2004.

Summary:

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.

Notes:

Corr. 2nd printing published in 2001.

Includes bibliographical references (pages [591]-608) and indexes.

Local Notes:

Acquired for the Penn Libraries with assistance from the Anne and Joseph Trachtman Memorial Book Fund.

ISBN:

0387985956

9780387985954

OCLC:

63064659