Applied multivariate data analysis

de Brian Everitt, Graham Dunn · Publicada por primera vez en 1991

Applied Multivariate Data Analysis is an intermediate-level text ideal for students and research workers in the social and behavioural sciences. After an introduction to data analysis and the statistical knowledge required to use the book, the authors go on to explain the analysis of complex data sets in detail. The up-to-date text includes modern techniques such as multidimensional scaling, cluster analysis, generalized linear models and structural equation models. Special features include emphasis on using methods of data analysis as exploratory tools; importance of searching for patterns in data stressed and exemplified; and interpretation of the output from statistical software.