Advances in multivariate data analysis
Subtitle: proceedings of the Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, University of Palermo, July 5-6, 2001
By: Hans-Hermann Bock, Marcello Chiodi, Antonino Mineo, editors.
Contributors: Bock, Hans Hermann.; Chiodi, Marcello.; Mineo, Antonino.
Series: Studies in classification, data analysis, and knowledge organization
Publisher: Springer-Verlag
Published: 2004
Place of publication: Berlin; New York
Language: eng
Number of pages: 281
Subjects: Multivariate analysis -- Congresses; Mathematical statistics -- Congresses
Genres: Congresses.
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.
Notes: Includes bibliographical references and indexes.