Biplots (Chapman & Hall/CRC Monographs on Statistics and Applied Probability, #54)

by J. C Gower and David J Hand

D. R. Cox, N. Reid, Valerie Isham, R.J. Tibshirani, Thomas A. Louis, Howell Tong, and Niels Keiding

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Book cover for Biplots

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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.

  • ISBN10 0412716305
  • ISBN13 9780412716300
  • Publish Date 1 December 1995
  • Publish Status Out of Print
  • Out of Print 23 January 2022
  • Publish Country US
  • Publisher Taylor & Francis Ltd
  • Imprint Chapman & Hall/CRC
  • Format Hardcover
  • Pages 280
  • Language English