MARC Record from harvard_bibliographic_metadata

LEADER: 02428cam a22003374a 4500
001 012616895-4
005 20140910154248.0
008 040504s2004 ne b 001 0 eng
010 $a 2004050727
020 $a1402022352 (hardback : acid-free paper)
035 0 $aocm55149321
040 $aDLC$cDLC$dDLC
042 $apcc
050 00 $aQA278$b.L47 2004
082 00 $a519.5/35$222
100 1 $aLe Roux, Brigitte.
245 10 $aGeometric data analysis :$bfrom correspondence analysis to structured data analysis /$cBrigitte Le Roux and Henry Rouanet.
260 $aDordrecht ;$aBoston :$bKluwer Academic Publishers,$cc2004.
300 $axi, 475 p. ;$c25 cm.
504 $aIncludes bibliographical references (p. [451]-463) and indexes.
505 0 $aForeword / Patrick Suppes -- 1. Overview of geometric data analysis -- 2. Correspondence analysis (CA) -- 3. Euclidean cloud -- 4. Principal component analysis (PCA) -- 5. Multiple correspondence analysis (MCA) -- 6. Structured data analysis -- 7. Stability of a Euclidean cloud -- 8. Inductive data analysis -- 9. Research case studies -- 10. Mathematical bases.
520 $aGeometric 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 $aMultivariate analysis.
650 0 $aComputational linguistics.
650 0 $aEconomics.
650 0 $aSociology.
650 0 $aStatistics.
700 1 $aRouanet, Henry.
899 $a415_565104
988 $a20101119
906 $0DLC