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Multivariate Statistical Methods: A Primer, Fourth Edition, by Bryan F.J. Manly, Jorge A. Navarro Alberto
PDF Download Multivariate Statistical Methods: A Primer, Fourth Edition, by Bryan F.J. Manly, Jorge A. Navarro Alberto
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Multivariate Statistical Methods: A Primer provides an introductory overview of multivariate methods without getting too deep into the mathematical details. This fourth edition is a revised and updated version of this bestselling introductory textbook. It retains the clear and concise style of the previous editions of the book and focuses on examples from biological and environmental sciences. The major update with this edition is that R code has been included for each of the analyses described, although in practice any standard statistical package can be used.
The original idea with this book still applies. This was to make it as short as possible and enable readers to begin using multivariate methods in an intelligent manner. With updated information on multivariate analyses, new references, and R code included, this book continues to provide a timely introduction to useful tools for multivariate statistical analysis.
- Sales Rank: #1131978 in Books
- Published on: 2016-10-31
- Original language: English
- Number of items: 1
- Dimensions: .0" h x .0" w x .0" l, .0 pounds
- Binding: Paperback
- 269 pages
Review
"I have been using the third edition of Bryan Manly’s "Multivariate Statistical Methods" in my graduate class on System Analysis for the last three years. Personally, I like this book and I advise my students to continue using it, even after the course is over, as it serves as a compact guide to multivariate statistics. It is a short textbook, but it still nicely covers a variety of different and difficult topics, and it demonstrates the many possible approaches to solving a given problem. The book is quite well organized; it includes some necessary mathematical background such as linear algebra, but also good examples and different sets of interesting data which are used to illustrate different methods. Later these sets are needed to solve problems, which could be used by students to assist their homework assignments. I am looking forward to using this new and improved edition of the book in my courses!"�
―Alexey L Sadovski, Professor of Mathematics, Texas A&M University-Corpus Christi
Praise for the Third Edition:
"The previous edition (2E) was reviewed by Nemeth (1997), who was enthusiastic about the book's role as 'an excellent, easy-to-read introduction to the analysis of multivariate data'…Her summary continues to work just fine for this new edition…This is a nice book to have around to loan to people who are just getting started in multivariate analysis."
―Technometrics, Vol. 47, No. 3, August 2005
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