Testing Statistical Hypotheses (Springer Texts in Statistics) - Hardcover

Lehmann, E. L.

Hardcover

ISBN 10: 0387949194 ISBN 13: 9780387949192

Publisher: Springer, 1997

Synopsis

An essential reference for any graduate student in statistics.

Summarizes developments in the field of hypotheses testing. 

Previous edition sold 4000 copies world wide since 1997.

About this title

Review:

Aus den Rezensionen zur 3. Auflage:

"... Testing Statistical Hypotheses gibt einen exzellenten Überblick über die Philosophie des Testens ... Dabei deckt dieses Buch sowohl die ... theoretischen Grundlagen als auch aktuelle Forschungsgebiete ab. Neben zahlreichen Beispielen trägt insbesondere eine leicht zugängliche Sprache zum Verständnis des Lesers bei. Die am Ende eines jeden Kapitels eingestreuten Aufgaben, Probleme und Referenzen geben zusätzliche Denkanstöße. Somit eignet sich dieses Buch nicht nur zum Selbststudium oder als Begleitlektüre für eine entsprechende Vorlesung, sondern ist auch für jeden in der Lehre Tätigen ein Gewinn." (Karsten Webel, in: Allgemeines Statistisches Archiv, 2006, Vol. 90, Issue 2, S. 360 f.)

From the Back Cover:

The third edition of Testing Statistical Hypotheses updates and expands upon the classic graduate text, emphasizing optimality theory for hypothesis testing and confidence sets. The principal additions include a rigorous treatment of large sample optimality, together with the requisite tools. In addition, an introduction to the theory of resampling methods such as the bootstrap is developed. The sections on multiple testing and goodness of fit testing are expanded. The text is suitable for Ph.D. students in statistics and includes over 300 new problems out of a total of more than 760.

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. He is the author of Elements of Large-Sample Theory and (with George Casella) he is also the author of Theory of Point Estimation, Second Edition.

Joseph P. Romano is Professor of Statistics at Stanford University. He is a recipient of a Presidential Young Investigator Award and a Fellow of the Institute of Mathematical Statistics. He has coauthored two other books, Subsampling with Dimitris Politis and Michael Wolf, and Counterexamples in Probability and Statistics with Andrew Siegel.              

About this edition

• Publisher: Springer
• Publication date: 1997
• ISBN 10: 0387949194
• ISBN 13: 9780387949192
• Binding: Hardcover
• Edition number: 2
• Number of pages: 604