Testing Statistical Hypotheses (Springer Texts in Statistics)

Testing Statistical Hypotheses (Springer Texts in Statistics)
By E.L. Lehmann, Joseph P. Romano,

• Publisher: Springer


• Number Of Pages: 786


• Publication Date: 2006-06-28


• Sales Rank: 123610


• ISBN / ASIN: 0387988645


• EAN: 9780387988641


• Binding: Hardcover


• Manufacturer: Springer


• Studio: Springer


• Average Rating: 5


• Total Reviews: 1

Book 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.





Date: 2000-08-08 Rating: 5
Review:
classic text with a new publisher
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 Over the years it remained so and twenty years after publication, when it was outdated by research advances it was revised by Professor Lehmann.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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