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This is a well-written and interesting book about techniques for displaying multi- variate data. Although the examples are applications to socioeconomic research, it is claimed that the methods can also be applied to the social sciences, medicine, biology, and geography. The primary focus is on correspondence analysis, with other techniques such as canonical correlation, discriminant analysis, and cluster analysis discussed in this context. One could conclude from the absence of exercises that the book is not intended as a text, but it certainly could be used for a class if supplemented with…
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Editions
1 edition- Hardcover · English · 1984Wiley · 250 pages · 9780471867432
Data processingMultivariate analysisMatricesLinear algebraMathematical statisticsRandom variables