Testing Statistical Hypotheses
2nd Edition
Published on 27. January 1997
Book
Hardback
XX, 600 pages
978-0-387-94919-2 (ISBN)
Description
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. TOC:1. The general decision problem; 2. The probability background; 3. Uniformly most powerful tests; 4. Unbiasedness: Theory and first applications; 5. Unbiasedness: Applications to normal distributions; Confidence intervals; 6. Invariance; 7. Linear hypotheses; 8. Multivariate linear hypotheses; 9. The minimax principle; 10. Conditional inference
Reviews / Votes
Aus den Rezensionen zur 3. Auflage: "... Testing Statistical Hypotheses gibt einen exzellenten Uberblick uber die Philosophie des Testens ... Dabei deckt dieses Buch sowohl die ... theoretischen Grundlagen als auch aktuelle Forschungsgebiete ab. Neben zahlreichen Beispielen tragt insbesondere eine leicht zugangliche Sprache zum Verstandnis des Lesers bei. Die am Ende eines jeden Kapitels eingestreuten Aufgaben, Probleme und Referenzen geben zusatzliche Denkanstosse. Somit eignet sich dieses Buch nicht nur zum Selbststudium oder als Begleitlekture fur eine entsprechende Vorlesung, sondern ist auch fur jeden in der Lehre Tatigen ein Gewinn." (Karsten Webel, in: Allgemeines Statistisches Archiv, 2006, Vol. 90, Issue 2, S. 360 f.)More details
Series
Edition
2., Ed.
Language
English
Place of publication
New York, NY
United States
Target group
College/higher education
Professional and scholarly
Grad students Researchers
Edition type
Revised edition
Illustrations
biography
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 36 mm
Weight
1020 gr
ISBN-13
978-0-387-94919-2 (9780387949192)
DOI
10.1007/978-1-4757-1923-9
Schweitzer Classification
Other editions
New editions
Book
06/2022
4th Edition
Springer
€117.69
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Erich L. Lehmann | Joseph P. Romano
Testing Statistical Hypotheses
Book
05/2005
3rd Edition
Springer
€106.99
Article exhausted; check for reprint
Additional editions
E. L. Lehmann
Testing Statistical Hypotheses
Book
05/2014
2nd Edition
Springer
€85.59
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Previous edition
E. L. Lehmann
Testing Statistical Hypotheses
Book
06/1987
Wiley
€102.69
Article exhausted; check for reprint
Person
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.
Content
1. The general decision problem; 2. The probability background; 3. Uniformly most powerful tests; 4. Unbiasedness: Theory and first applications; 5. Unbiasedness: Applications to normal distributions; Confidence intervals; 6. Invariance; 7. Linear hypotheses; 8. Multivariate linear hypotheses; 9. The minimax principle; 10. Conditional inference.