Biplots / J.C. Gower and D.J. Hand.
By: Gower, J. C
.
Contributor(s): Hand, D. J.
Material type: 
BookSeries: Monographs on statistics and applied probability (Series) ; 54.Publisher: London : Chapman & Hall, 1995Description: xiii,277p : ill ; 23 cm. + hbk.ISBN: 0412716305 .Subject(s): Multivariate analysisDDC classification: 519.53 | Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
| General Lending | MTU Bishopstown Library Lending | 519.53 (Browse shelf(Opens below)) | 1 | Available | 00069923 |
Enhanced descriptions from Syndetics:
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.
Includes bibliographical references (pages 265-271) and index.
Introduction -- Principal component analysis (PCA) -- Other linear biplots -- Multiple correspondence analysis -- Canonical biplots -- Nonlinear biplots -- Generalized biplots -- Biadditive models -- Correspondence analysis (CA) -- Relationships between CA and MCA -- Other topics.