The Weighted Bootstrap(1st Edition)

Authors:

Philippe Barbe, Patrice Bertail

Free The Weighted Bootstrap1st EditionPhilippe Barbe, Patrice Bertail0387944788, 978-0387944784
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ISBN: 0387944788, 978-0387944784

Book publisher: Springer

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Customer Reviews

Trusted feedback from verified buyers

IH
Ian Hughes
4.0
Reviewed In United States United States • October 1, 2023
I found 'The Weighted Bootstrap' to be a very helpful guide in understanding the nuances of implementing bootstrap methods. The pacing is perfect for someone with a solid background in statistics. What stood out was the delivery speed; it reached my doorstep within just a couple of days. My only critique is that some sections could be expanded with more detailed examples.
DG
Dean Grant
3.0
Reviewed In United States United States • September 28, 2023
The book serves as a decent introduction to the weighted bootstrap method. However, it sometimes felt a bit technical for casual readers. Could have used more beginner-friendly examples. Overall, it's a useful resource, but make sure you have a good statistical foundation before diving in.
AT
Adam Turner
5.0
Reviewed In United States United States • September 15, 2023
I've gone through several resources on bootstrapping, but this one really stands out. Its comprehensive coverage of weighted bootstrap techniques is impressive. The explanations are clear, and the examples are practical, making it an invaluable resource for statisticians and data scientists alike. Plus, it arrived super quickly and in pristine condition. Truly a fantastic addition to my library.
MP
Mia Pierce
4.0
Reviewed In United States United States • August 5, 2023
I appreciate the depth of information in this book, which explores the weighted bootstrap concept thoroughly. It provides a good mix of theory and hands-on application. The book itself was well-packaged and arrived without any issues. Although it's slightly dense at times, it's a solid resource for anyone looking to deepen their understanding of bootstrap methods.
WP
William Pearson
5.0
Reviewed In United States United States • July 23, 2023
The book dives deep into the intricacies of the weighted bootstrap method. I was particularly impressed by the balance between theory and application. As someone who regularly uses statistical methods in research, the detailed explanations and real-world examples were incredibly helpful. I used my subscription benefit for a nice discount, making this purchase even more worthwhile.

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