New Perspectives in Statistical Modeling and Data Analysis (eBook, PDF)

Proceedings of the 7th Conference of the Classification and Data Analysis Group of the Italian Statistical Society, Catania, September 9 - 11, 2009
Redaktion: Ingrassia, Salvatore; Vichi, Maurizio; Rocci, Roberto

• Format: PDF

Produktbeschreibung

This volume provides recent research results in data analysis, classification and multivariate statistics and highlights perspectives for new scientific developments within these areas. Particular attention is devoted to methodological issues in clustering, statistical modeling and data mining. The volume also contains significant contributions to a wide range of applications such as finance, marketing, and social sciences. The papers in this volume were first presented at the 7th Conference of the Classification and Data Analysis Group (ClaDAG) of the Italian Statistical Society, held at the University of Catania, Italy.

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Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 587
• Erscheinungstermin: 29. Juni 2011
• Englisch
• ISBN-13: 9783642113635
• Artikelnr.: 44223227

Inhaltsangabe

Data Modeling for Evaluation.
Data Analysis in Economics.
Nonparametric Kernel Estimation.
Data Analysis in Industry and Services.
Visualization of Relationships.
Classification.
Analysis of Financial Data.
Functional Data Analysis.
Computer Intensive Methods.
Data Analysis in Environmental and Medical Sciences.
Analysis of Categorical Data.
Multivariate Analysis.

Rezensionen

From the reviews:
"This volume contains contributions from the seventh biannual meeting of the Classification and Data Analysis Group of the Italian Statistical Society, organised by the Faculty of Economics at the University of Catania in September 2009. ... Most of the contributions provide a clear overview of current areas of active research in statistics. As such, they can help the reader to have an idea about the current state-of-art in different topics. The volume can be used primarily as reference material." (Fabrizio Durante, International Statistical Review, Vol. 81 (3), 2014)