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Elements of Large-Sample Theory

  • Kartonierter Einband
  • 648 Seiten
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Elements of Large Sample Theory provides a unified treatment of first-order large-sample theory. It discusses a broad range of app... Weiterlesen
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Beschreibung

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.

Author is one of the most important figures in modern statistics as well as a great expositor

Unique approach brings a unified treatment to a topic that is usually lost by some at a lower level of statistical proficiency

Discusses a broad range of applications, written at an elementary level suitable for non-statisticians in applied fields



Zusammenfassung

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."



Inhalt
Mathematical Background * Convergence in Probability and in Law * Performance of Statistical Tests * Estimation* Multivariate Extensions * Nonparametric Estimation * Efficient Estimators and Tests *

Produktinformationen

Titel: Elements of Large-Sample Theory
Autor:
EAN: 9781441931368
ISBN: 1441931368
Format: Kartonierter Einband
Herausgeber: Springer New York
Genre: Mathematik
Anzahl Seiten: 648
Gewicht: 966g
Größe: H235mm x B155mm x T34mm
Jahr: 2010
Auflage: Softcover reprint of the original 1st ed. 1999

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