Computational Statistics In Data Science(1st Edition)
Authors:
Richard A. Levine, Walter W. Piegorsch, Hao Helen Zhang, Thomas C. M. Lee
Type:Hardcover/ PaperBack / Loose Leaf
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Book details
ISBN: 1119561078, 978-1119561071
Book publisher: Wiley
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Customer Reviews
Trusted feedback from verified buyers
IW
This book is an absolute gem for anyone serious about delving into computational statistics as it connects with current data science practices. The explanations are articulate and assumptions are laid out very clearly, which I truly appreciate. The author's use of practical examples and exercises helps consolidate the theory profoundly. It arrived promptly and in perfect condition—hats off to the packaging! A must-have on any data scientist's bookshelf.
CW
Was satisfied with the content's depth and structure—feels meticulously organized. My subscription got me an extra discount, which was a sweet bonus when purchasing. The book addresses both beginners and those looking for advanced insights. It's nicely written, though occasionally the jargon might trip up those without a stats background. Overall, a recommended read!
MB
I found this book to be a solid balance between theoretical foundations and practical applications. The content is substantive but not overly dense, which makes it accessible to both novices and advanced readers in the field. While I enjoyed the detailed examples, the delivery took a bit longer than expected due to stock issues. If you're looking for comprehensive coverage in computational statistics, this book should definitely be on your list.





























