Multivariate Statistical Methods: A Primer

by Bryan F.J. Manly, Jorge A. Navarro Alberto

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.

Genres: Science, Nonfiction, Academic, Reference

270 pages, Paperback

Published October 19, 2016

Reviews

[Hojjat Sayyadi · Rating 5 out of 5]

یک کتاب کاربردی در زمینه تحلیل داده های چند متغیری برای دانشجویان تحصیلات تکمیلی در حوزه علوم زیستی هستش که در آن تمامی تحلیلهای آماری با استفاده از نرم افزار آر انجام شده است. کدهای عالی و داده های کتاب رو هم میشه از وب براحتی گرفت .

[Darin · Rating 5 out of 5]

This book is as the title states: a primer on multivariate statistics. The coverage is good with enough details to understand the different methods. There isn't much hard-core theory.

[Tess · Rating 2 out of 5]

disappointed this book used different notation from the other statistics book I used for the same class.

[Aysha Ross · Rating 3 out of 5]

Really difficult to follow. "Uses" R but doesn't make it easy to replicate code.