| ||||||||||||||||||||
![]() Trade In this Item for up to £26.80
Trade in Modern Applied Statistics with S (Statistics and Computing) for an Amazon.co.uk gift card of up to £26.80, which you can then spend on millions of items across the site. Trade-in values may vary (terms apply). Find more products eligible for trade-in.
|
Product details
|
Suggested Tags from Similar Products(What's this?)Be the first one to add a relevant tag (keyword that's strongly related to this product)
|
|
Share your thoughts with other customers:
|
||||||||||||||||||||||
|
Most Helpful Customer Reviews
8 of 8 people found the following review helpful:
5.0 out of 5 stars
It is the S book!,
By A Customer
This review is from: Modern Applied Statistics with S (Statistics and Computing) (Hardcover)
This book is not about statistical theory. It is about how to perform modern statistical and graphical data analysis using S environment. If you do not have sufficient background in statistics you should go for something else. There are many excellent options.
5 of 5 people found the following review helpful:
5.0 out of 5 stars
Great book on modern statistics,
By
This review is from: Modern Applied Statistics with S (Statistics and Computing) (Hardcover)
This book is a classic. Essential for anyone working with S or R. Some statistical background and programming skills are certainly necessary. This book was written for people with some good statistical knowledge who wants to implement sophisticated analysis to their data without much fuss. The examples are clear. The book is well written and concise.
5 of 5 people found the following review helpful:
5.0 out of 5 stars
Excellent guide to modern statistics and S,
By A Customer
This review is from: Modern Applied Statistics with S (Statistics and Computing) (Hardcover)
If you want a book on theoretical statistics, try buying a book called "Theoretical Statistics". If you want a book that covers a massive range of modern statistical methods (including linear models, generalized linear models, generalized additive models, projection pursuit, neural networks, tree methods, mixed effects models, mixture models, robust methods and others), and which contains dozens of example analyses with S, then this book is unbeatable.
Share your thoughts with other customers: Create your own review
Would you like to see more reviews about this item?
|
Most Recent Customer Reviews |
|
|
|