Geometric Data Analysis: From Correspondence Analysis to Structured Data Analysis
✍ Scribed by Roux B., Rouanet H.
- Year
- 2004
- Tongue
- English
- Leaves
- 483
- Category
- Library
No coin nor oath required. For personal study only.
✦ Synopsis
"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.
✦ Subjects
Математика;Теория вероятностей и математическая статистика;Математическая статистика;
📜 SIMILAR VOLUMES
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 for
<p><STRONG>Geometric Data Analysis</STRONG> (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 p
<STRONG>Geometric Data Analysis</STRONG> (GDA) is the name suggested by P. Suppes (Stanford University) to designate the approach to Multivariate Statistics initiated by BenzГ©cri as Correspondence Analysis, an approach that has become more and more used and appreciated over the years. This book pre
<span>Geometric Data Analysis</span><span> (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 pr
Data is constantly increasing and data analysts are in higher demand than ever. This book is an essential guide to the role of data analyst. Aspiring data analysts will discover what data analysts do all day, what skills they will need for the role, and what regulations they will be required to adhe