Elements of Large-Sample Theory

E. L. Lehmann

ISBN 10: 1441931368 / ISBN 13: 9781441931368

Published by Humana, 2010

About this Item

Elements of Large-Sample Theory | E. L. Lehmann | Taschenbuch | Springer Texts in Statistics | xii | Englisch | 2010 | Humana | EAN 9781441931368 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 107152376

Bibliographic Details

• Title: Elements of Large-Sample Theory
• Publisher: Humana
• Publication Date: 2010
• Language: English
• ISBN 10: 1441931368
• ISBN 13: 9781441931368
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 35D millimeters 235 millimeters width by 155 millimeters height by 35 millimeters depth
• Weight: 966 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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. The book is written at an elementary level and 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:

Lehmann/Casella, Theory at Point Estimation, 2nd ed. Springer-Verlag New York, Inc., 1998, ISBN 0- 387-98502-6

Lehmann, Testing Statistical Hypotheses, 2nd ed. Springer-Verlag New York, Inc., 1997, ISBN 0-387-94919-4

Review

From a review:

EUROPEAN MATHEMATICAL SOCIETY

"The book also contains rich collection of problems and a useful list of references, and can be warmly recommended as a complementary text to lectures on mathematical statistics, as well as a textbook for more advanced courses."