Computational Statistics(1st Edition)

Authors:

James E. Gentle

Computational Statistics1st EditionJames E. Gentle1461429293, 9781461429296
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ISBN: 1461429293, 9781461429296

Book publisher: Springer

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Customer Reviews

Trusted feedback from verified buyers

MP
Matthew Proctor
4.0
Reviewed In United States United States • October 2, 2023
This book offers a solid introduction to computational statistics, presenting theory in tandem with practical examples. While I wish there were more real-world case studies, the existing ones are quite helpful for understanding the material. The book arrived quickly and was in perfect condition. Overall, it's a very helpful guide, even though some sections assume more background knowledge than I had.
LH
Lillian Holt
5.0
Reviewed In United States United States • September 15, 2023
This book exceeded my expectations. As someone new to computational statistics, I found the explanations clear and the examples extremely useful. The author has done a fantastic job of simplifying complex concepts without losing the depth of the subject. I also appreciated the timely delivery; it was well-packaged and arrived sooner than expected. Highly recommended for anyone wanting a thorough understanding of computational statistics!
AS
Austin Sutton
3.0
Reviewed In United States United States • September 5, 2023
Good, but could be better.
BP
Brandon Pearson
5.0
Reviewed In United States United States • August 12, 2023
An excellent resource for both beginners and seasoned professionals in the field of statistics. The balance the author strikes between theory and practical application is truly commendable. I utilized my membership benefits to get a discount, which was a nice bonus. I found the book invaluable for my current research project. Do not hesitate to add this to your collection if you are serious about computational statistics.
CP
Cole Porter
4.0
Reviewed In United States United States • July 25, 2023
This book serves as a comprehensive manual, offering deep insights into computational statistics. It covers both the foundational aspects and more advanced topics, but sometimes the language can be a bit dense for newcomers. Delivery was prompt, and the book was securely packaged. Despite a few overly technical chapters, it's a valuable addition to any statistician's library.

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