Statistical Methods For Handling Incomplete Data(1st Edition)

Authors:

Jae Kwang Kim, Jun Shao

Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New

In Stock: 2 Left

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Book details

ISBN: 1439849633, 978-1439849637

Book publisher: Chapman And Hall/CRC

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Customer Reviews

Trusted feedback from verified buyers

SB
Spencer Brooks
4.0
This book serves as a very helpful guide, particularly for those new to the subject. It's comprehensive, though I found myself wanting more case studies to see the methods in real-world scenarios. Delivery was fast, and I'm satisfied with the purchase, especially after using a discount from my book club membership.
MS
Molly Sutton
3.0
Decent content, yet a few more real-world examples would enhance its usefulness for practitioners. Overall, it's an informative read.
DF
Damien Franklin
4.0
Statistical Methods For Handling Incomplete Data strikes a nice balance between theory and practical examples. While some sections felt a bit technical for my taste, the overall structure helped enhance my understanding of handling data imperfections. The book was well-packaged, and I received it sooner than expected.
AC
Allison Crawford
5.0
An outstanding resource for anyone working with incomplete data. The book covers a wide range of statistical methods and provides clear, practical examples that make the complex subject more approachable. I appreciated how well-organized the chapters are, making it easy to find the information I needed quickly. It arrived promptly and in great condition. Highly recommended for statisticians and data scientists alike!
DS
Damien Simmons
5.0
This book offers some of the clearest explanations on imputation techniques and data modeling I've come across. As a college professor, I find it invaluable for both my own research and recommending to my students. It's thorough and balances theory with practical application seamlessly. I got extra discount with my membership, which was an added bonus!