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| Testing Statistical Hypotheses (Springer Texts in Statistics) | 
 enlarge | List Price: $99.00
Buy New: $73.30
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Avg. Customer Rating:   (based on 5 reviews)
Sales Rank: 31131
Category: Book
Authors: E.l. Lehmann, Joseph P. Romano
Publisher: Springer
Studio: Springer
Manufacturer: Springer
Label: Springer
Languages: English (Original Language), English (Unknown), English (Published)
Media: Hardcover
Edition: 3rd
Number Of Items: 1
Pages: 786
Shipping Weight (lbs): 2.7
Dimensions (in): 9.3 x 5.9 x 1.7
ISBN: 0387988645
Dewey Decimal Number: 519.56
EAN: 9780387988641
ASIN: 0387988645
Publication Date: September 30, 2008
Availability: Usually ships in 1-2 business days
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Product 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.
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| Customer Reviews:
 hard to read June 3, 2008
0 out of 3 found this review helpful
I found this book hard to read & maneuver around in. Maybe I should've gotten an earlier edition.
 classic text with new publisher February 13, 2008
32 out of 33 found this review helpful
This text was commonly used as a graduate text in mathematical statistics in the 1970s when I was a graduate student at Stanford University. It was the best and most detailed text on the theory of hypothesis testing. Over the years it remained so and twenty years after publication, when it was outdated by research advances it was revised by Professor Lehmann. The second edition originally published by Wiley went out of print but has now been reprinted by Springer-Verlag. This is a great book for any statistician to have on his bookshelf, a must have reference!
3rd edition has lots of new material February 11, 2008
1 out of 1 found this review helpful
The 3rd edition has an entirely new set of chapters covering asymptotics. I found this to be a very readable survey, including a good discussion of local asymptotic normality, which is not treated in more elementary texts. There's some overlap between this book and Lehman's Theory of Point Estimation. It's not obvious which should be read first, but both books are very well written with many interesting problems.
nice book February 8, 2008
This is a textbook for theoretical statistics,which has more content than 2nd edition while the 2nd edition is concise and pointed. If it is not required to have third edition, I would rather buy the 2nd edition.
I received the book after 5 days of purchase. It is pretty new and clean.
classic text with a new publisher August 8, 2000
20 out of 22 found this review helpful
This text was commonly used as a graduate text in mathematical statistics in the 1970s when I was a graduate student at Stanford University. It was the best and most detailed text on the theory of hypothesis testing. Over the years it remained so and twenty years after publication, when it was outdated by research advances it was revised by Professor Lehmann. The second edition originally published by Wiley went out of print but has now been reprinted by Springer-Verlag. This is a great book for any statistician to have on his bookshelf, a must have reference!
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