E. L. Lehmann

Elements of Large-Sample Theory (eBook, PDF)

• Format: PDF

Produktbeschreibung

Written by one of the main figures in twentieth century statistics, this book 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 making it accessible to most readers.

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Produktdetails

• Verlag: Springer US
• Seitenzahl: 632
• Erscheinungstermin: 18. April 2006
• Englisch
• ISBN-13: 9780387227290
• Artikelnr.: 43999495

Autorenporträt

E.L. Lehmann, University of California, Berkeley, CA, USA

Inhaltsangabe

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

Rezensionen

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."

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."