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Statistical Models for Data Analysis


Statistical Models for Data Analysis
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Lieferzeit: 7-14 Werktage

  • 10437577


Beschreibung

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.

Eigenschaften

Breite: 155
Gewicht: 658 g
Höhe: 235
Länge: 23
Seiten: 419
Sprachen: Englisch
Autor: Maurizio Vichi, Paolo Giudici, Salvatore Ingrassia

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