
Multivariate analysis plays an important role in the understanding of complex data sets requiring simultaneous examination of all variables. Breaking through the apparent disorder of the information, it provides the means for both describing and exploring data, aiming to extract...

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...

The Author explain the analysis of complex data sets in detail. The up-to-date book includes modern techniques such as multidimensional scaling, cluster analysis, generalized linear models and structural equation models.
