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Data analysis, classification and the forward search : proceedings of the Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, University of Parma, June 6-8, 2005 /

Bibliographic Details
Corporate Authors: Classification Group of SIS. Meeting, SpringerLink (Online service)
Other Authors: Zani, Sergio
Format: eBook
Language:English
Published: Berlin ; New York : Springer, [2006]
Series:Studies in classification, data analysis, and knowledge organization.
Subjects:
Classification > Congresses.
Multivariate analysis > Congresses.
Statistics > Congresses.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • PART I. CLUSTERING AND DISCRIMINATION. Genetic algorithms-based approaches for clustering time series
  • On the choice of the kernel function in kernel discriminant analysis using information complexity
  • Growing clustering algorithms in market segmentation: defining target groups and related marketing communication
  • Graphical representation of functional clusters and MDS configurations
  • Estimation of the structural mean of a sample of curves by dynamic time warping
  • Sequential decisional discriminant analysis
  • Regularized sliced inverse regression with applications in classification
  • PART II. MULTIDIMENSIONAL DATA ANALYSIS AND MULTIVARIATE STATISTICS. Approaches to asymmetric multidimensional scaling with external information
  • Variable architecture Bayesian neural networks: model selection based on EMC
  • Missing data in optimal scaling
  • Simple component analysis based on RV coefficient
  • Baum-Eagon inequality in probabilistic labeling problems
  • Monotone constrained EM algorithms for multinormal mixture models
  • Visualizing dependence of bootstrap confidence intervals for methods yielding spatial configurations
  • Automatic discount selection for exponential family state-space models
  • A generalization of the polychoric correlation coefficient
  • The effects of MEP distributed random effects on variance component estimation in multilevel models
  • Calibration confidence regions using empirical likelihood
  • PART III. ROBUST METHODS AND THE FORWARD SEARCH. Random start forward searches with envelopes for detecting clusters in multivariate data
  • Robust transformation of proportions using the forward search
  • The forward search method applied to geodetic transformations
  • An R package for the forward analysis of multivariate data
  • A forward search method for robust generalised procrustes analysis
  • A projection method for robust estimation and clustering in large data sets
  • Robust multivariate calibration
  • PART IV. DATA MINING METHODS AND SOFTWARE. Procrustes techniques for text mining
  • Building recommendations from random walks on library OPAC usage data
  • A software tool via web for the statistical data analysis: R-php
  • Evolutionary algorithms for classification and regression trees
  • Variable selection using random forests
  • Boosted incremental tree-based imputation of missing data
  • Sensitivity of attributes on the performance of attribute-aware collaborative filtering
  • PART V. MULTIVARIATE METHODS FOR CUSTOMER SATISFACTION AND SERVICE EVALUATION. Customer satisfaction evaluation: an approach based on simultaneous diagonalization
  • Analyzing evaluation data: modelling and testing for homogeneity
  • Archetypal analysis for data driven benchmarking
  • Determinants of secondary school dropping out: a structural equation model
  • Testing procedures for multilevel models with administrative data
  • Multidimensional versus unidimensional models for ability testing
  • PART VI. MULTIVARIATE METHODS IN APPLIED SCIENCE. ECONOMICS. A spatial mixed model for sectorial labour market data
  • The impact of the new labour force survey on the employed classification
  • Using CATPCA to evaluate market regulation
  • Credit risk management through robust generalized linear models
  • Classification of financial returns according to thresholds exceedances
  • ENVIRONMENTAL AND MEDICAL SCIENCES. Nonparametric clustering of seismic events
  • A non-homogeneous Poisson based model for daily rainfall data
  • A comparison of data mining methods and logistic regression to determine factors associated with death following injury
  • Author index.