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

Geometric Data Analysis From Correspondence Analysis To Structured Data Analysis Roux B

  • SKU: BELL-997068
Geometric Data Analysis From Correspondence Analysis To Structured Data Analysis Roux B
$ 31.00 $ 45.00 (-31%)

4.1

40 reviews

Geometric Data Analysis From Correspondence Analysis To Structured Data Analysis Roux B instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 32.89 MB
Pages: 483
Author: Roux B., Rouanet H.
ISBN: 9781402022364, 1402022360
Language: English
Year: 2004

Product desciption

Geometric Data Analysis From Correspondence Analysis To Structured Data Analysis Roux B by Roux B., Rouanet H. 9781402022364, 1402022360 instant download after payment.

"Geometric Data Analysis" (GDA) is the name suggested by P. Suppes (Stanford University) to designate the approach to Multivariate Statistics initiated by Benzecri as Correspondence Analysis, an approach that has become more and more used and appreciated over the years. This book presents the full formalization of GDA in terms of linear algebra - the most original and far-reaching consequential feature of the approach - and shows also how to integrate the standard statistical tools such as Analysis of Variance, including Bayesian methods. The readership of the book concerns both mathematicians interested in the applications of mathematics, and researchers willing to master an exceptionally powerful approach of statistical data analysis.

Related Products