E-book

Statistical Models for Data Analysis [electronic resource] / edited by Paolo Giudici, Salvatore Ingrassia, Maurizio Vichi.

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Table of 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. .