




desertcart.com: Analysis of Categorical Data with R (Chapman & Hall/CRC Texts in Statistical Science): 9781439855676: Bilder, Christopher R., Loughin, Thomas M.: Books Review: Excellent reference - I bought this as a companion to the required text to my categorical data analysis course. It is very good. The R script examples are very helpful and the book is very well written and organized. Review: Happy with my order - Arrived within the expected timeframe Condition was same as described Hapoy with my order




| Best Sellers Rank | #1,076,103 in Books ( See Top 100 in Books ) #847 in Statistics (Books) #1,546 in Probability & Statistics (Books) |
| Customer Reviews | 4.8 4.8 out of 5 stars (22) |
| Dimensions | 7 x 1.43 x 10 inches |
| Edition | 1st |
| ISBN-10 | 1439855676 |
| ISBN-13 | 978-1439855676 |
| Item Weight | 2.57 pounds |
| Language | English |
| Part of series | Chapman & Hall/CRC Texts in Statistical Science |
| Print length | 547 pages |
| Publication date | August 4, 2014 |
| Publisher | Routledge |
S**Y
Excellent reference
I bought this as a companion to the required text to my categorical data analysis course. It is very good. The R script examples are very helpful and the book is very well written and organized.
S**R
Happy with my order
Arrived within the expected timeframe Condition was same as described Hapoy with my order
T**O
Four Stars
Super book.
G**E
Your alternative as a textbook in Categorical Data courses.
This is the best alternative to Agresti books in categorical data analysis. A modern and well written book with a lot of examples and R code. Very useful as a textbook in categorical data analysis courses. The chapter "Additional Topics" has many modern techniques to explore.
C**S
Simply the Best
This is one of the best applied statistical references written. It provides a solid foundation with lucid explanations. It does not sacrifice key details. It also is very helpful in developing R skills. The appendices include the theoretical framework; however, Agresti provides much broader theoretical discussions. I would highly recommend.
S**O
Great code snippets available
Well written, clear book with good examples and great code online.
A**G
Five Stars
In good shape.
T**L
the authors and publishers think this book is mediocre at best. If they thought the book were good
The book is well written and presents methods for the analysis of categorical data from the ground up. Unfortunately, the authors and the publishers provide a "solutions manual for all exercises" only for "instructors who adopt the textbook as a required resource for a course" and they won't "help [...] readers who are trying to solve exercises" ([...]). This is odd because it makes me think neither the authors nor the publishers can imagine that people would want to read this book voluntarily without having been obliged to do so by their teachers. This also makes me believe, the authors and publishers think this book is mediocre at best. If they thought the book were good, they surely would have prepared solutions for some exercises for people who use this book, e.g., for self-study purposes, as a refresher etc. (Don't get me wrong though: this actually is a well written book. I just wish they had provided some way to make it possible for self-learners to verify their solutions to the exercises in the book.)
B**R
I got a bug for free
C**N
Very well written and complete
Trustpilot
1 month ago
1 month ago