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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.
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Subjects
Congresses, Multivariate analysis, Mathematical statistics, Pattern perception, Statistics, Optical pattern recognition, Economics, Mathematical Economics, Statistics for Business/Economics/Mathematical Finance/Insurance, Game Theory/Mathematical Methods, Statistics for Life Sciences, Medicine, Health SciencesShowing 2 featured editions. View all 2 editions?
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1
Advances in Multivariate Data Analysis
October 8, 2004, Springer
Paperback
in English
- 1 edition
3540208895 9783540208891
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2
Advances in multivariate data analysis: proceedings of the Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, University of Palermo, July 5-6, 2001
2004, Springer-Verlag
in English
3540208895 9783540208891
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Book Details
Edition Notes
Includes bibliographical references and indexes.
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- Created October 12, 2008
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