Editors:
- Presents novel research in the field of statistical models for data analysis
- Offers statistical solutions for relevant problems
- Contains explicit derivation of the proposed models as well as their implementation?
- 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 (45 papers)
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Front Matter
About this book
Editors and Affiliations
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Department of Economics, and Management, University of Pavia, Pavia, Italy
Paolo Giudici
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Department of Economics, and Business, University of Catania, Catania, Italy
Salvatore Ingrassia
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, Department of Statistics, University of Rome "La Sapienza", Rome, Italy
Maurizio Vichi
Bibliographic Information
Book Title: Statistical Models for Data Analysis
Editors: Paolo Giudici, Salvatore Ingrassia, Maurizio Vichi
Series Title: Studies in Classification, Data Analysis, and Knowledge Organization
DOI: https://doi.org/10.1007/978-3-319-00032-9
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2013
Softcover ISBN: 978-3-319-00031-2Published: 11 July 2013
eBook ISBN: 978-3-319-00032-9Published: 01 July 2013
Series ISSN: 1431-8814
Series E-ISSN: 2198-3321
Edition Number: 1
Number of Pages: XV, 419
Number of Illustrations: 75 b/w illustrations
Topics: Statistical Theory and Methods, Data Mining and Knowledge Discovery, Statistics for Social Sciences, Humanities, Law, Statistics for Business, Management, Economics, Finance, Insurance, Assessment, Testing and Evaluation, Artificial Intelligence