logo

EbookBell.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://ebookbell.com/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.

EbookBell Team

Applied Directional Statistics Modern Methods And Case Studies Christophe Ley

  • SKU: BELL-7293296
Applied Directional Statistics Modern Methods And Case Studies Christophe Ley
$ 31.00 $ 45.00 (-31%)

5.0

58 reviews

Applied Directional Statistics Modern Methods And Case Studies Christophe Ley instant download after payment.

Publisher: CRC Press
File Extension: PDF
File size: 100.76 MB
Pages: 317
Author: Christophe Ley, Thomas Verdebout
ISBN: 9781138626430, 1138626430
Language: English
Year: 2019

Product desciption

Applied Directional Statistics Modern Methods And Case Studies Christophe Ley by Christophe Ley, Thomas Verdebout 9781138626430, 1138626430 instant download after payment.

This book collects important advances in methodology and data analysis for directional statistics. It is the companion book of the more theoretical treatment presented in Modern Directional Statistics (CRC Press, 2017). The field of directional statistics has received a lot of attention due to demands from disciplines such as life sciences or machine learning, the availability of massive data sets requiring adapted statistical techniques, and technological advances. This book covers important progress in bioinformatics, biology, astrophysics, oceanography, environmental sciences, earth sciences, machine learning and social sciences.

Related Products