Statistical Analysis With Measurement Error Or Misclassification(1st Edition)
Authors:
Grace Y. Yi
Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New
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Book details
ISBN: 1493966383, 978-1493966387
Book publisher: Springer
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Customer Reviews
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DK
I cannot emphasize enough how useful this book has been for my work. 'Statistical Analysis With Measurement Error Or Misclassification' is truly outstanding. It delves deeply into nuanced statistical methodologies, providing clear explanations and plenty of real-world examples. The text is well-organized, and each concept is broken down in a way that's easy to digest, even for complex topics. Delivery was swift, arriving days before the expected date—well-packaged and in perfect condition. A must-have for anyone deeply engaged in statistical analysis.
CW
This book is a solid resource for navigating the tricky waters of measurement error in statistical data. While the language can be quite technical at times, the inclusion of examples helps bridge the gap between theory and practical application. I especially appreciated the section on misclassification and how it’s handled across different statistical models. I ordered it using my prime subscription, which gave me a nice discount—and it arrived even faster than expected, in great condition.
CT
This is one of those books that you really appreciate if you're working in the field of data analysis. It ties together complex statistical concepts with real case studies very effectively. Some parts are dense, but overall, it’s a great mix. The book discusses various sources of measurement error and offers practical solutions to counteract them. Purchasing this during the membership sale gave me a much-needed discount. Perhaps a little advanced for beginners, but for those with some background, it's invaluable.






























