Multiple Imputation Of Missing Data In Practice(1st Edition)
Authors:
Yulei He, Guangyu Zhang, Chiu-Hsieh Hsu
Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New
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Book details
ISBN: 1498722067, 9781498722063
Book publisher: Chapman And Hall/CRC
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Customer Reviews
Trusted feedback from verified buyers
WW
I can't recommend this book enough for anyone dealing with missing data! The explanations are clear and packed with practical examples that made complex concepts much more digestible. What I loved most was the way the authors balance theory and practice. As someone who frequently works with large datasets, I found the strategies outlined here to be incredibly applicable to real-world scenarios. Plus, it arrived quickly and in perfect condition, so kudos to the seller for that. Anyone serious about data analysis should have this on their shelf. Got an extra discount with my Prime subscription too, which was a nice bonus!
TN
This book does a great job explaining multiple imputation, a topic that can be pretty dense. The authors provide a good balance of theory and application, which kept me engaged throughout. It turned out to be a solid resource for both understanding the statistical underpinnings and applying these methods in practice. However, I would have appreciated more in-depth examples, especially for advanced users. But that's a minor gripe. It was also well-packaged when it arrived, no dents or scratches on the cover. Overall, a strong guide that I'd recommend to anyone getting serious about statistical analysis.
RN
The book really dives into the nitty-gritty of multiple imputation. While sometimes the technical jargon can be a bit overwhelming, the practical advice given makes it worth the read. Got an extra discount with my university membership, which saved me quite a bit!





























