Ordered Regression Models Parallel Partial And Non Parallel Alternatives(1st Edition)
Authors:
Andrew Fullerton , Jun Xu
Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New
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Book details
ISBN: 0367737213, 978-0367737214
Book publisher: Chapman And Hall/CRC
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Customer Reviews
Trusted feedback from verified buyers
RN
This book offered a decent overview of the topic, though it felt a bit advanced for beginners. The explanations were thorough in parts but could have been clearer in others. I had anticipated a bit more in terms of non-parallel models. The physical copy I received was well-packaged.
TT
As someone diving into the world of regression models, this book has been invaluable. The examples are clear and the explanations are detailed yet accessible. No prior coursework required, making it perfect even for beginners. The text's organization into parallel and non-parallel alternatives really helped solidify my understanding. I also appreciated the quick delivery; it arrived just in time for my weekend study session!
AW
This book is a gem for anyone interested in ordered regression models. As an experienced statistician, I've found this to be one of the most comprehensive resources on the subject. The balance between theory and application is perfect, and it's filled with illustrative examples that make complex concepts easier to grasp. I received a discount through my membership, which was an added bonus!
LB
I purchased this book as part of my graduate coursework and found it to be quite helpful. It strikes a fair balance between theoretical concepts and practical applications. Some sections were a bit dense, but the author does a good job explaining difficult topics. The book was delivered promptly and in perfect condition.
AB
Ordered Regression Models is a solid resource for anyone looking to deep dive into statistical models. While it's a bit technical at times, the careful explanations ensure that readers are not lost. I got this with a member discount, which was nice. A worthy addition to my collection, though not something I'd read cover-to-cover casually.





























