Geometric Data Analysis: From Correspondence Analysis to Structured Data Analysis

Description

Geometric Data Analysis (GDA) is the name suggested by P. Suppes (Stanford University) to designate the approach to Multivariate Statistics initiated by Benzécri 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. Chapter 9, Research Case Studies, is nearly a book in itself; it presents the methodology in action on three extensive applications, one for medicine, one from political science, and one from education (data borrowed from the Stanford computer-based Educational Program for Gifted Youth ). Thus 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.


Find it at gigapedia.org. There are mihd and rs links.

Find it at gigapedia.org. There are mihd and rs links.

Disclaimer:
Contents of this page are indexed from the Internet. All actions are under your responsability. Email us to report illegal contents or external links and we'll remove them immediately.

Please check the description for download links if any or do a search to find alternative books.

Can't Download?
Please search mirrors if you can't find download links for "Geometric Data Analysis: From Correspondence Analysis to Structured Data Analysis" in "Description" and someone else may update the links. Check the comments when back to find any updates.

Search Mirrors
Maybe some mirror pages will be helpful, search this book at top of this page or click here to find more info.

1. Ebooks list page : 1162
2. Geometric Data Analysis: From Correspondence Analysis to Structured Data Analysis
3. Geometric Data Analysis: From Correspondence Analysis to Structured Data Analysis
4. Correspondence Analysis and Data Coding with Java and R
5. Exploratory Data Analysis with MATLAB (Computer Science and Data Analysis)
6. Exploratory Data Analysis with MATLAB (Computer Science and Data Analysis)
7. Mining.the.Web.Analysis.of.Hypertext.and.Semi.Structured.Data
8. Mining the Web Analysis of Hypertext and Semi Structured Data
9. Mining the Web: Analysis of Hypertext and Semi Structured Data
10. [share_ebook] Analysis of Variance for Random Models, Volume 2: Unbalanced Data: Theory, Methods, Applications, and Data Analysis
11. [share_ebook] Mining the Web Analysis of Hypertext and Semi Structured Data
12. Mining the Web: Analysis of Hypertext and Semi Structured Data (Repost)
13. Mining the Web: Analysis of Hypertext and Semi Structured Data
14. New Developments in Classification and Data Analysis: Proceedings of the Meeting of the Classification and Data Analysis Group
15. Survival Analysis Using S: Analysis of Time-to-Event Data (Texts in Statistical Science)
16. Data Mining and Predictive Analysis: Intelligence Gathering and Crime Analysis