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Advances in multivariate data analysis

Classification Group of SIS. Meeting · 2004

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About the book

The book presents a range of new developments in the theory and practice of multivariate statistical data analysis. Among the topics are the construction and comparison of classification trees, clustering methods, generalized multivariate distributions, the analysis of symbolic data, explorative time series analysis, smoothing and dynamic regression models, generalized linear models, and neural networks. Several contributions illustrate the use of multivariate methods in application fields such as economics, medicine, environment, and biology.

Book details

Year
2004
Language
English
Publisher
Springer
Editions
1
Pages
281
ISBN
9783540208891

Data source: Wikidata

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