Written by one of the main figures in twentieth century statistics, this book provides an introduction to large sample theory at a level suitable for researchers and graduate students in statistics and applied areas.

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

Autorentext
Erich 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.

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