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Gower, J. C. and Hand, David J. (1995). Biplots. Monographs on statistics and applied probability, 54. London, U.K.: Chapman & Hall.

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Biplots are the multivariate analog of scatter plots, approximating the multivariate distribution of a sample in a few dimensions to produce a graphic display. In addition, they superimpose representations of the variables on this display so that the relationships between the sample and the variable can be studied. Like scatter plots, biplots are useful for detecting patterns and for displaying the results found by more formal methods of analysis.
In recent years the theory of biplots has been considerably extended. The approach adopted here is geometric, permitting a natural integration of well-known methods, such as components analysis, correspondence analysis, and canonical variate analysis as well as some newer and less well-known methods, such as nonlinear biplots and biadditive models.

Item Type: Book
Copyright Holders: 1995 The Authors
ISBN: 0-412-71630-5, 978-0-412-71630-0
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Mathematics and Statistics
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 24128
Depositing User: Sarah Frain
Date Deposited: 03 May 2011 16:01
Last Modified: 04 Oct 2016 10:47
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