Testing Statistical Hypotheses (Wiley Publication in Mathematical Statistics)

Lehmann, E.L.

ISBN 10: 0471524700 / ISBN 13: 9780471524700

Published by John Wiley & Sons Inc, 1959

About this Item

This books is in Very good condition. There may be a few flaws like shelf wear and some light wear.

Seller Inventory # 5D4WH7000MRU_ns

Bibliographic Details

• Title: Testing Statistical Hypotheses (Wiley Publication in Mathematical Statistics)
• Publisher: John Wiley & Sons Inc
• Publication Date: 1959
• Language: English
• ISBN 10: 0471524700
• ISBN 13: 9780471524700
• Binding: Hardcover
• Condition: very_good

About this title

Synopsis

This classic textbook, now available from Springer, summarizes developments in the field of hypotheses testing. Optimality considerations continue to provide the organizing principle. However, they are now tempered by a much stronger emphasis on the robustness properties of the resulting procedures. This book is an essential reference for any graduate student in statistics.

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.