Applied Logistic Regression(1st Edition)
Authors:
David W. Hosmer, Stanley Lemeshow
Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New
In Stock: 2 Left
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Book details
ISBN: 0471615536, 9780471615538
Book publisher: Wiley-Interscience
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Customer Reviews
Trusted feedback from verified buyers
BC
Great book with lots of useful information, but sometimes a bit dense for beginners. The examples are well-presented, clearly illustrating the concepts. Shipping was fast, and the packaging was secure, so no issues there. Overall, a solid guide for those who have some background in statistics.
AW
This book is phenomenal! As a data scientist, I found 'Applied Logistic Regression' to be an outstanding resource. It delves into the nuances of logistic regression with clear explanations and practical examples. The chapters are well-organized, making it easy to find specific information when needed. I was particularly impressed by the real data analysis cases. Arrived quickly and in perfect condition. Kudos to the authors!
HW
I've been working with regression analyses for years, and this book really stands out. It's comprehensive yet accessible, making it perfect for both newbies and seasoned statisticians. The authors have done a stellar job balancing theory with practical examples. Also, I got an extra discount with my subscription. Can't recommend it enough!
MB
I appreciated the balance this book offers between theory and application. The examples helped in understanding complex concepts. While some sections felt heavy, the overall content is very useful. The book arrived promptly, which was a bonus. Definitely worth adding to your statistics library if you're interested in logistic regression.
KH
This book provides a solid foundation for understanding logistic regression, but I wish it went into greater depth in certain areas. It's a decent starting point, especially for those new to the topic, but for more experienced readers, it might leave you wanting more. Got it with a discount thanks to my membership!































