
Testing Statistical Hypotheses
E. L. Lehmann(Author)
Springer (Publisher)
2nd Edition
Published on 14. May 2014
Book
Paperback/Softback
604 pages
978-1-4757-1925-3 (ISBN)
The article will not be published
Description
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.
Summarizes developments in the field of hypotheses testing.
Previous edition sold 4000 copies world wide since 1997.
More details
Series
Edition
2nd 1986 ed.
Language
English
Place of publication
New York
United States
Target group
Research
Product notice
Paperback (trade)
Unsewn / adhesive bound
Illustrations
Bibliography
Dimensions
Height: 235 mm
Width: 155 mm
ISBN-13
978-1-4757-1925-3 (9781475719253)
DOI
10.1007/978-1-4757-1923-9
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions

Book
06/2022
4th Edition
Springer
€117.69
Shipment within 7-9 days
Additional editions
E. L. Lehmann
Testing Statistical Hypotheses
Book
01/1997
2nd Edition
Springer
€90.90
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.
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.