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Springer 2004 2004 ed. hardcover Good Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
ISBN10: 1402022352, ISBN13: 9781402022357, [publisher: Springer] Hardcover Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! [Dallas, TX, U.S.A.] [Publication Year: 2004]
ISBN10: 1402022352, ISBN13: 9781402022357, [publisher: Springer] Hardcover Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc. [Montgomery, IL, U.S.A.] [Publication Year: 2004]
ISBN10: 1402022352, ISBN13: 9781402022357, [publisher: Springer Netherlands] Hardcover Druck auf Anfrage Neuware - Printed after ordering - 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. [Einbeck, Germany] [Publication Year: 2004] ...
ISBN10: 1402022352, ISBN13: 9781402022357, [publisher: Springer Netherlands] Hardcover Druck auf Anfrage Neuware - Printed after ordering - 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. [Einbeck, Germany] [Publication Year: 2004] ...
Springer 6/29/2004 2004 ed. Hardback or Cased Book New in New jacket Geometric Data Analysis: From Correspondence Analysis to Structured Data Analysis (Hardback or Cased Book)
Hard Cover. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; The Geometric Data Analysis : From Correspondence Analysis to Structured Data Analysis. ISBN 1402022352 9781402022357 [GB]
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