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
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
Decent content, yet a few more real-world examples would enhance its usefulness for practitioners. Overall, it's an informative read.
DF
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
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
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!






























