320 pages, Illus
This book is fully updated to include new sections on neural networks, graphical modelling, hierarchical or multilevel modelling, and latent class models. The sections on correspondence analysis and principal components analysis have been expanded. It also offers more exercises for students and an updated review of the available software suited to multivariate analysis. The text avoids irrelevant theoretical statistics and concentrates on enabling the students to understand the concepts behind the data analysis.
...a very useful book which can be thoroughly recommended. -- Short Book Reviews The book is a valuable resource for students on applied statistics courses and applied researchers in many disciplines. -- 'Books in brief' section of Marketing Research It is well produced, generally easy to read and reasonably priced. -- Biometrics 20021220
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