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4599 14
2009-09-14
Applied Asymptotics - Case Studies in Small-sample Statistics

Editorial ReviewsReview
"A solid and useful contribution to applied statistics. Students of statistics and practicing statisticians will find much to study and learn here."
Andrew Robinson, University of Melbourne


"I highly recommend the book to researchers looking for ways to improve accuracy in statistical testing. The book is well written, the examples are clear, and because all examples can be verified by the reader through the provided packages and code in R, the analyses can be explored in great detail."
Lourens Waldrop, Biometrics

Product Description
In fields such as biology, medical sciences, sociology, and economics researchers often face the situation where the number of available observations, or the amount of available information, is sufficiently small that approximations based on the normal distribution may be unreliable. Theoretical work over the last quarter-century has led to new likelihood-based methods that lead to very accurate approximations in finite samples, but this work has had limited impact on statistical practice. This book illustrates by means of realistic examples and case studies how to use the new theory, and investigates how and when it makes a difference to the resulting inference. The treatment is oriented towards practice and comes with code in the R language (available from the web) which enables the methods to be applied in a range of situations of interest to practitioners. The analysis includes some comparisons of higher order likelihood inference with bootstrap or Bayesian methods. Author resource page: http://www.isib.cnr.it/~brazzale/AA/

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Product Details
  • Hardcover: 248 pages
  • Publisher: Cambridge University Press; illustrated edition edition (May 31, 2007)
  • Language: English
  • ISBN-10: 0521847036
  • ISBN-13: 978-0521847032
  • Product Dimensions: 9.9 x 7 x 0.7 inches
  • Shipping Weight: 1.6 pounds (View shipping rates and policies)
  • Average Customer Review: No customer reviews yet. Be the first.
  • Amazon.com Sales Rank: #842,502 in Books (See Bestsellers in Books)

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2009-9-14 22:28:48
这本书是小样本统计的经典,非常有用。
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2009-9-26 09:59:13
up...to...the...top
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2009-9-26 10:10:21
好书,要顶。
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2009-10-6 22:04:10
Yes. It is a very good book.
kantdisciple 发表于 2009-9-26 10:10
好书,要顶。
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2009-10-7 09:25:25
是一本非常经典的教科书,应该也是学习计量经济学理论方法的基础。
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