logo
Product categories

EbookNice.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link.  https://ebooknice.com/page/post?id=faq


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookNice Team

(Ebook) Multivariate Statistical Methods: A Primer, Fourth Edition by Bryan F.J. Manly; Jorge A Navarro Alberto ISBN 9781498728966, 1498728960

  • SKU: EBN-7162330
Zoomable Image
$ 32 $ 40 (-20%)

Status:

Available

5.0

18 reviews
Instant download (eBook) Multivariate Statistical Methods: A Primer, Fourth Edition after payment.
Authors:Bryan F.J. Manly; Jorge A Navarro Alberto
Pages:253 pages.
Year:2017
Editon:Fourth edition
Publisher:CRC Press
Language:english
File Size:3.78 MB
Format:pdf
ISBNS:9781498728966, 1498728960
Categories: Ebooks

Product desciption

(Ebook) Multivariate Statistical Methods: A Primer, Fourth Edition by Bryan F.J. Manly; Jorge A Navarro Alberto ISBN 9781498728966, 1498728960

Multivariate Statistical Methods: A Primerprovides 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.
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

Related Products