Title: Advances in multivariate data analysis
First published: 2004
Description: 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.
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 Sciences
LC classification: QA278 .C54 2001, QA278 .C54 2001