The second edition of this classic book will serve as a reference on mathematical statistics for graduate students and researchers in mathematical statistics. Many topics are presented which have been available only in journal form.

Autorentext

Erich L. Lehmann is Professor Emeritus of Statistics at the University of California at Berkeley. He is a member of the American and National Academies, a former Editor of the Annals of Mathematical Statistics, and President of the Institute of Mathematical Statistics. He holds honorary degrees from the Universities of Chicago and Leiden, and was awarded the Wilks and Noether prizes. He is also the author of Testing Statistical Hypotheses, Theory of Point Estimation, and Elements of Large-Sample Theory, all published by Springer. Two more elementary books, Basic Concepts of Probability and Statistics (joint with Hodges) and Nonparametrics have recently been reissued by SIAM and Springer, respectively.

Inhalt
Preface to the Second Edition.- Preface to the First Edition.- List of Tables.- List of Figures.- List of Examples.- Table of Notation.- Preparations.- Unbiasedness.- Equivariance.- Average Risk Optimality.- Minimaxity and Admissibility.- Asymptotic Optimality.- References.- Author Index.- Subject Index.