New Developments in Classification and Data Analysis

Proceedings of the Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, University of Bologna, September 22-24, 2003

AvMaurizio Vichi,Paola Monari

Häftad, Engelska, 2005

Del i serien Studies in Classification, Data Analysis, and Knowledge Organization

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Beskrivning

The volume presents new developments in data analysis and classification. Particular attention is devoted to clustering, discrimination, data analysis and statistics, as well as applications in biology, finance and social sciences. The reader will find theory and algorithms on recent technical and methodological developments and many application papers showing the empirical usefulness of the newly developed solutions.

Produktinformation

Utgivningsdatum:2005-02-22
Mått:155 x 235 x undefined mm
Format:Häftad
Språk:Engelska
Serie:Studies in Classification, Data Analysis, and Knowledge Organization
Antal sidor:370
Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN:9783540238096

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Innehållsförteckning

Classification and Clustering.- Multi-Class Budget Exploratory Trees.- Methods to Compare Nonparametric Classifiers and to Select the Predictors.- Variable Selection in Cell Classification Problems: A Strategy Based on Independent Component Analysis.- Simplifying Classification Trees Through Consensus Methods.- Selecting the Training Set in Classification Problems with Rare Events.- A Classification and Discrimination Integrated Strategy Conducted on Symbolic Data for Missing Data Treatment in Questionnaire Survey.- A Collinearity Based Hierarchical Method to Identify Clusters of Variables.- On the Dynamic Time Warping for Computing the Dissimilarity Between Curves.- Metrics in Symbolic Data Analysis.- Constrained Clusterwise Linear Regression.- Crossed Clustering Method on Symbolic Data Tables.- Multivariate Statistics and Data Analysis.- Some Statistical Applications of Centrosymmetric Matrices.- Selection of Structural Equation Models with the PLS-VB Programme.- Web Robot Detection - Preprocessing Web Logfiles for Robot Detection.- Data Dependent Prior Modeling and Estimation in Contingency Tables: The Order-Restricted RC Model.- PLS Typological Regression: Algorithmic, Classification and Validation Issues.- Weighted Metric Multidimensional Scaling.- An Improved Majorization Algorithm for Robust Procrustes Analysis.- Generalized Bi-Additive Modelling for Categorical Data.- Model Selection Procedures in Three-Mode Component Models.- Principal Component Analysis for Non-Precise Data.- A New Version of the Structural Dynamic Model with Unique Latent Scores.- Some Issues About the Use of Experts.- Nonparametric Methods in Survey Sampling.- A Different Approach for the Analysis of Web Access Logs.- Blending Statistics and Graphics in Visual Data Mining.- Confidence Regions in Multivariate Calibration: A Proposal.- Applied Multivariate Statistics.- Nonparametric Analysis of Air Pollution Indices Compositions.- VAR Models for Spatio-temporal Structures: An Application to Environmental Data.- Analysis of Spatial Covariance Structure for Environmental Data.- Bayesian Clustering of Gene Expression Dynamics: An Application.- A Hierarchical Mixture Model for Gene Expression Data.- Sequence Analysis of BHPS Life Course Data.- Robust Multivariate Methods for the Analysis of the University Performance.- Some Insights into the Evolution of 1990s' Standard Italian Using Text Mining Techniques and Automatic Categorization.- Evaluating Undergraduate Education Through Multiple Choice Tests.- A New Approach in Business Travel Survey: Multivariate Techniques for Strata Design.- Value-Orientations and Partnership.- An Item Response Theory Model for Student Ability Evaluation Using Computer-Automated Test Results.- Functional Cluster Analysis of Financial Time Series.- The Role of the Normal Distribution in Financial Markets.- Functional Principal Component Analysis of Financial Time Series.- Elliptically Symmetric Distributions: A Review of Achieved Results and Open Issues.