» Computational Statistics (Wiley Series in Probability and Statistics)
Price: $89.98
Rating: 3.0 / 5.00 (2 reviews)
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Manufacturer: Wiley-Interscience
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Rating: 3.0 / 5.00 (2 reviews)
Usually ships in 24 hours
Manufacturer: Wiley-Interscience
Click to Buy
Computational Statistics (Wiley Series in Probability and Statistics) Details
Binding: HardcoverDewey Decimal Number: 519.50285536
EAN: 9780471461241
ISBN: 0471461245
Label: Wiley-Interscience
Manufacturer: Wiley-Interscience
Number Of Items: 1
Number Of Pages: 448
Publication Date: 2005-02-02
Publisher: Wiley-Interscience
Studio: Wiley-Interscience
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Computational Statistics (Wiley Series in Probability and Statistics) Reviews
Customer Rating:Summary: Great intor to Comp. Stat.
Comment: One of the best books I have had for Computational Statistics. Has almost all topics required for statistical computing. Includes a solid theoretical background at the introductory graduate level, so anyone not possessing this background should beware - since they can find the material a little overwhelming. But if you are comfortable, say, at the level of Casella/Berger or Hogg/Craig, you will be more than thrilled at this volume.
Customer Rating:
Summary: Incomprehensible
Comment: I have an undergrad in computers and math and am half way through with my MS in Statistics. I have never had a book that I considered this bad. The explanations are bad, the examples are bad, and the problems are bad. There is no use to owning this book, short of using it to kill bugs. Even then you would probably want a larger book, in order to have a better chance of getting the quick ones.
Editorial Review for Computational Statistics (Wiley Series in Probability and Statistics):
This expert teaching aid enables readers to develop a multi-faceted and thorough comprehension of modern statistical computing and computational statistics. Backed by many years of classroom experience, the authors lay out a practical understanding of how and why current statistical methods work. The text begins with an essential review of key mathematical and statistical principles. Following this, the text emphasizes those areas that are central to understanding this evolving field and areas where routine application of software often fails to solve complex problems. Additional features include problem sets, datasets, and references on advanced topics. Providing readers with a thorough understanding of contemporary statistical techniques, this text enables readers to apply these methods effectively and to better understand and solve real-life problems.