More titles to consider

Shopping Cart

You're getting the VIP treatment!

With the purchase of Kobo VIP Membership, you're getting 10% off and 2x Kobo Super Points on eligible items.

itemsitem
See your RECOMMENDATIONS

Synopsis

This book brings the power of multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source, shareware program R, Professor Zelterman demonstrates the process and outcomes for a wide array of multivariate statistical applications. Chapters cover graphical displays, linear algebra, univariate, bivariate and multivariate normal distributions, factor methods, linear regression, discrimination and classification, clustering, time series models, and additional methods. Zelterman uses practical examples from diverse disciplines to welcome readers from a variety of academic specialties. Those with backgrounds in statistics will learn new methods while they review more familiar topics. Chapters include exercises, real data sets, and R implementations. The data are interesting, real-world topics, particularly from health and biology-related contexts. As an example of the approach, the text examines a sample from the Behavior Risk Factor Surveillance System, discussing both the shortcomings of the data as well as useful analyses. The text avoids theoretical derivations beyond those needed to fully appreciate the methods. Prior experience with R is not necessary.

Ratings and Reviews

Overall rating

No ratings yet
(0)
5 Stars 4 Stars 3 Stars 2 Stars 1 Stars
0 0 0 0 0

Be the first to rate and review this book!

You've already shared your review for this item. Thanks!

We are currently reviewing your submission. Thanks!

(0)

You can read this item using any of the following Kobo apps and devices:

  • DESKTOP
  • eREADERS
  • TABLETS
  • IOS
  • ANDROID
  • BLACKBERRY
  • WINDOWS