Data Analysis and Classification Proceedings of the 6th Conference of the Classification and Data Analysis Group of the SocietỈtaliana di Statistica /

The volume provides results from the latest methodological developments in data analysis and classification and highlights new emerging subjects within the field. It contains articles about statistical models, classification, cluster analysis, multidimensional scaling, multivariate analysis, latent...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Palumbo, Francesco. (Editor), Lauro, Carlo Natale. (Editor), Greenacre, Michael J. (Editor)
Format: Electronic
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
Series:Studies in Classification, Data Analysis, and Knowledge Organization,
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-03739-9
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245 1 0 |a Data Analysis and Classification  |b Proceedings of the 6th Conference of the Classification and Data Analysis Group of the SocietỈtaliana di Statistica /  |c edited by Francesco Palumbo, Carlo Natale Lauro, Michael J. Greenacre.  |h [electronic resource] : 
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490 1 # |a Studies in Classification, Data Analysis, and Knowledge Organization,  |x 1431-8814 
505 0 # |a From the Contents: Actuarial and Continuous Time Risk Models: Towards a Synthesis -- Clustering of High-Dimensional and Correlated Data -- Statistical Methods for Cryptography -- An Algorithm for Earthquakes Clustering Based on Maximum Likelihood -- A Two-Step Iterative Procedure for Clustering of Binary Sequences -- Clustering Linear Models Using Wasserstein Distance -- Comparing Approaches for Clustering Mixed Mode Data: an Application in Marketing Research -- The Progressive Single Linkage Algorithm Based on Minkowski Ultrametrics -- Visualization of Model-Based Clustering Structures -- Models for Asymmetry in Proximity Data -- Intimate Femicide in Italy: a Model to Classify How Killings Happened -- Two-Dimensional Centrality of Asymmetric Social Network -- The Forward Search for Classical Multidimensional Scaling When the Starting Data Matrix Is Known -- Discriminant Analysis on Mixed Predictos -- A Statistical Calibration Model for Affymetrix Probe Level Data. 
520 # # |a The volume provides results from the latest methodological developments in data analysis and classification and highlights new emerging subjects within the field. It contains articles about statistical models, classification, cluster analysis, multidimensional scaling, multivariate analysis, latent variables, knowledge extraction from temporal data, financial and economic applications, and missing values. Papers cover both theoretical and empirical aspects. 
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