Categorical Data Analysis(2nd Edition)
Authors:
Alan Agresti
Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New
In Stock: 1 Left
Shipment time
Expected shipping within 2 - 3 DaysPopular items with books
Access to 35 Million+ Textbooks solutions
Free ✝
Ask Unlimited Questions from expert
AI-Powered Answers
30 Min Free Tutoring Session
✝ 7 days-trial
Total Price:
$0
List Price: $15.02
Savings: $15.02
(100%)
Solution Manual Includes
Access to 30 Million+ solutions
Ask 50 Questions from expert
AI-Powered Answers
24/7 Tutor Help
Detailed solutions for Categorical Data Analysis
Price:
$9.99
/month
Book details
ISBN: 470463635, 978-0-471-4587, 978-0471360933
Book publisher: Wiley-Interscience
Offer Just for You!:
Buy 2 books before the end of January and enter our lucky draw.
Book Price $0 : Categorical Data Analysis by Alan Agresti is an authoritative text that delves deeply into statistical methods for analyzing categorical data. The second edition of this comprehensive guide expands on its predecessor by incorporating modernized techniques and an accessible solution manual. Key themes in the book include logistic regression, loglinear models, and methods for matched pairs. The main 'characters' in this mathematical journey are advanced statistical tools and methods used extensively in the realms of data science and applied statistics. Initially, it explores fundamental concepts like contingency tables, offering readers an 'answer key' to understand complex data interactions. Agresti masterfully integrates theory with practical applications, ensuring that statisticians and data analysts can apply this knowledge effectively in fields ranging from epidemiology to social sciences. The book is highly regarded for its clear exposition and comprehensive table of content that guides both novice and experienced statisticians through the intricacies of categorical data. Chapters are structured to facilitate learning, with examples and exercises that encourage real-world application. Reception of Agresti’s work has been overwhelmingly positive, with accolades for making intricate statistical methodologies accessible to a broad audience, thereby serving as an essential resource in both academic and professional settings. The inclusion of a solution manual enhances its utility as a teaching tool in university courses. The author’s inclusion of cheap supplementary materials makes this text ideal for academic settings.
Customers also bought these books
Popular Among Students
Customer Reviews
Trusted feedback from verified buyers
WW
Had to grab this for my course STAT 432: Advanced Categorical Data Analysis and it got here crazy fast which was a relief. The book looks solid and clean, pages are nice and crisp. Haven't started extra reading it yet but the layout caught my eye immediately so feels like it'll be a helpful one. Plus got it for free, so no complaints at all. Honestly the timing and condition made it easy to feel ready for this class, hoping the rest lives up so far. pretty happy with the whole deal so far from grabbing to opening the cover.
BK
This book is a decent introduction to categorical data analysis, but it could benefit from more examples and illustrations. The theoretical content is well-explained, but for a better grasp, practical applications could be added. Nonetheless, it's a solid resource for those starting out.
CB
This book is an outstanding resource for anyone delving into categorical data analysis. The examples provided are just fantastic, making complex concepts more digestible. The book arrived quickly and was well-packaged. I couldn't be happier with this purchase and strongly recommend it to both students and professionals alike. Got an extra discount through my subscription, so even better!
AW
Very comprehensive for anyone into statistical analysis. While not exactly a light read, this book breaks down complicated concepts pretty well. I received the book with my subscription discount, which was a nice bonus. The only downside is that some chapters are a bit dense, but definitely worth the read.
PC
As a statistician, I found 'Categorical Data Analysis, 2nd Edition' to be an invaluable part of my library. The book offers both depth and clarity, making it suitable for people working actively in the field. It arrived promptly, perfectly packaged. Whether you're a student or an experienced professional, this is a must-have. Secure your copy today!
TP
I purchased this book on recommendation and was not disappointed. It does a great job of balancing theoretical concepts with practical applications. Delivery was on time, and the book was in pristine condition. Though I wish there were more exercises or practice problems, overall, it's a very helpful guide.
BM
Grabbed this free for my Dallas State University course and it’s been pretty helpful so far. not a quick read but the explanations make sense once you push past the dense parts. haven’t finished it yet but it’s nice to have around for reference when homework gets tricky.
HA
At my University of Cincinnati class, needed this categorical book that came free, which was awesome. It took maybe 4-5 days to get here and it looked pretty neat, pages crisp and all that. Haven’t read much yet but the chapters I glanced at make some sense, though a bit heavy on details sometimes. Seems like it’s gonna take some serious focus to really get through, not a casual read for sure. It’s decent for what I need but gonna need some extra help from other stuff too. Not a bad deal though, especially since I didn’t have to pay for it!
SF
Got the categorical book sent out to me for free since I’m in STAT 422: Advanced Categorical Data Analysis and it showed up way faster than I expected, like within two days. The physical book feels solid and clean with crisp pages which is nice, felt more prepared just having it around even though I haven’t started reading the full thing yet. The cover and layout looked organized enough that it won’t be super confusing. Kinda relieved I didn’t have to wait or spend money plus it feels like it’ll help when homework time rolls around.






































