Geometric Data Analysis From Correspondence Analysis to Structured Data Analysis /

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Roux, Brigitte Le (Συγγραφέας), Rouanet, Henry (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Dordrecht : Springer Netherlands, 2005.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03247nam a22005655i 4500
001 978-1-4020-2236-4
003 DE-He213
005 20151204182138.0
007 cr nn 008mamaa
008 100301s2005 ne | s |||| 0|eng d
020 |a 9781402022364  |9 978-1-4020-2236-4 
024 7 |a 10.1007/1-4020-2236-0  |2 doi 
040 |d GrThAP 
050 4 |a QA273.A1-274.9 
050 4 |a QA274-274.9 
072 7 |a PBT  |2 bicssc 
072 7 |a PBWL  |2 bicssc 
072 7 |a MAT029000  |2 bisacsh 
082 0 4 |a 519.2  |2 23 
100 1 |a Roux, Brigitte Le.  |e author. 
245 1 0 |a Geometric Data Analysis  |h [electronic resource] :  |b From Correspondence Analysis to Structured Data Analysis /  |c by Brigitte Le Roux, Henry Rouanet. 
264 1 |a Dordrecht :  |b Springer Netherlands,  |c 2005. 
300 |a XI, 475 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a Overview of Geometric Data Analysis (‘Overview’) -- Correspondence Analysis -- Euclidean Cloud -- Principal Component Analysis -- Multiple Correspondence Analysis (MCA) -- Structured Data Analysis -- Stability of a Euclidean Cloud -- Inductive Data Analysis -- Research Case Studies -- Mathematical Bases. 
520 |a 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. 
650 0 |a Mathematics. 
650 0 |a Probabilities. 
650 0 |a Computational linguistics. 
650 0 |a Statistics. 
650 0 |a Economics. 
650 0 |a Management science. 
650 0 |a Economic theory. 
650 1 4 |a Mathematics. 
650 2 4 |a Probability Theory and Stochastic Processes. 
650 2 4 |a Economics, general. 
650 2 4 |a Statistics, general. 
650 2 4 |a Economic Theory/Quantitative Economics/Mathematical Methods. 
650 2 4 |a Statistics for Life Sciences, Medicine, Health Sciences. 
650 2 4 |a Computational Linguistics. 
700 1 |a Rouanet, Henry.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9781402022357 
856 4 0 |u http://dx.doi.org/10.1007/1-4020-2236-0  |z Full Text via HEAL-Link 
912 |a ZDB-2-SMA 
950 |a Mathematics and Statistics (Springer-11649)