Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Classification, Data Analysis, and Knowledge Organization (STUDIES CLASS)
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Table of contents (53 papers)
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Front Matter
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Key-note
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Front Matter
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Cluster Analysis
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Front Matter
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Multivariate Analysis and Application
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Front Matter
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Multivariate Analysis and Application
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Front Matter
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About this book
The volume provides results from the latest methodological developments in data analysis and classification and highlights new emerging subjects within the field. It contains articles about statistical models, classification, cluster analysis, multidimensional scaling, multivariate analysis, latent variables, knowledge extraction from temporal data, financial and economic applications, and missing values. Papers cover both theoretical and empirical aspects.
Reviews
From the reviews:
“It covers a wide array of topics, including methods for classification and clustering, statistical models, statistical multivariate methods, data mining, both financial and economic applications, and knowledge extraction from temporal data. … the organization and structure of the remainder of the book is good and logical. … the volume provides a good variety of applications in various fields. Combining theoretical advances with a host of real applications, this volume will be of equally special interest for researchers and practitioners.” (Technometrics, Vol. 53 (3), August, 2011)
Editors and Affiliations
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Fac. Economia, Università Macerata, Macerata, Italy
Francesco Palumbo
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Dipto. Matematica e Statistica, Università Federico II di Napoli, Napoli, Italy
Carlo Natale Lauro
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Depto. Economía y Empresa, Universitat Pompeu Fabra, Barcelona, Spain
Michael J. Greenacre
Bibliographic Information
Book Title: Data Analysis and Classification
Book Subtitle: Proceedings of the 6th Conference of the Classification and Data Analysis Group of the Società Italiana di Statistica
Editors: Francesco Palumbo, Carlo Natale Lauro, Michael J. Greenacre
Series Title: Studies in Classification, Data Analysis, and Knowledge Organization
DOI: https://doi.org/10.1007/978-3-642-03739-9
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2010
Softcover ISBN: 978-3-642-03738-2Published: 16 December 2009
eBook ISBN: 978-3-642-03739-9Published: 14 March 2010
Series ISSN: 1431-8814
Series E-ISSN: 2198-3321
Edition Number: 1
Number of Pages: XXII, 482
Number of Illustrations: 109 b/w illustrations
Topics: Probability Theory and Stochastic Processes, Statistics for Business, Management, Economics, Finance, Insurance