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19 of 19 people found the following review helpful:
5.0 out of 5 stars Excellent textbook on asymptotics in statistics, October 17, 2000
By A Customer
This review is from: Asymptotic Statistics (Cambridge Series in Statistical and Probabilistic Mathematics) (Hardcover)
This book covers asymptotics at a level suitable for graduate students in statistics and other disciplines such as economics. It does not really treat time-series issues, but apart from that its coverage is very impressive. It covers M-estimators, efficiency, quantile estimators, semiparametrics, and much more. The writing is remarkably lucid; proofs are succinct but very readable. One feature I particularly liked was a very readable introduction to empirical process theory, which would be a good place to start before tackling the van der Vaart and Wellner's more advanced book.
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1 of 8 people found the following review helpful:
5.0 out of 5 stars Just read and enjoy., November 29, 2007
An excellent book for graduate level. Many interesting material (like U-statistics and a flavor of nonparametric methods) exposed in a solid and precise way.
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0 of 9 people found the following review helpful:
5.0 out of 5 stars Asymptotic Statistics, February 20, 2006
Great book for an applied or a theoretical statistician. Particularly helpful for graduate students as a tool for research.
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Asymptotic Statistics (Cambridge Series in Statistical and Probabilistic Mathematics)
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