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Statistical models for data analysis Paolo Giudici, Salvatore Ingrassia, Maurizio Vichi, editors

Springer Nature - Springer Mathematics and Statistics (R0) eBooks 2013 English International Available online

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Format:
Book
Contributor:
Giudici, Paolo
Ingrassia, Salvatore
Vichi, Maurizio, 1959-
Series:
Studies in classification, data analysis, and knowledge organization
Studies in classification, data analysis, and knowledge organization 1431-8814
Language:
English
Subjects (All):
Mathematical statistics.
Data mining.
Artificial intelligence.
Data Mining.
Artificial Intelligence.
artificial intelligence.
Medical Subjects:
Data Mining.
Artificial Intelligence.
Genre:
Statistics
Physical Description:
1 online resource
Place of Publication:
Cham New York Springer ©2013
Language Note:
English
System Details:
text file
PDF
Summary:
"The papers in this book cover issues related to the development of novel statistical models for the analysis of data. They offer solutions for relevant problems in statistical data analysis and contain the explicit derivation of the proposed models as well as their implementation. The book assembles the selected and refereed proceedings of the biannual conference of the Italian Classification and Data Analysis Group (CLADAG), a section of the Italian Statistical Society."--Publisher's website
Contents:
From the contents: Ordering curves by data depth
May the students' career performance helpful in predicting an increase in universities income?
Model-based classification via patterned covariance analysis
Data stream summarization by histograms clustering
Web panel representativeness
Nonparametric inference via permutation tests for CUB models
Asymmetric multidimensional scaling models for seriations
An approach to ranking the hedge funds industry
Correction of incoherences in statistical matching
The analysis of network additionality in the context of territorial innovation policy
Clustering and registration of multidimensional functional data
Classifying tourism destinations
On two classes of weighted rank correlation measures deriving from teh Spearman's r
Beanplot data analysis in a temporal framework
Supervised classification of facial expressions
Grouping around different dimensional affine subspaces
Hospital clustering in the treatment of acute myocardial infarction patients via a Bayesian semiparametric approach
A new fuzzy method to classify professional profiles from job announcements
A metric based approach for the Least Square Regression of multivariate model symbolic data
A Gaussian-Von Mises Hidden Markov model for clustering multivariate linear-circular data
And further articles
Notes:
Includes bibliographical references and index
Online resource; title from PDF title page (SpringerLink, viewed July 15, 2013)
Other Format:
Print version Giudici, Paolo. Statistical models for data analysis
ISBN:
9783319000329
3319000322
3319000314
9783319000312
OCLC:
852794038
Access Restriction:
Restricted for use by site license

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