Data Analysis, Classification and the Forward Search (eBook)

Preface 6
Contents 8
Clustering and Discrimination 13
Genetic Algorithms- based Approaches for Clustering Time Series 14
On the Choice of the Kernel Function in Kernel Discriminant Analysis Using Information Complexity 22
Growing Clustering Algorithms in Market Segmentation: Defining Target Groups and Related Marketing Communication 33
Graphical Representation of Functional Clusters and MDS Configurations 41
Estimation of the Structural Mean of a Sample of Curves by Dynamic Time Warping 48
Sequential Decisional Discriminant Analysis 58
Regularized Sliced Inverse Regression with Applications in Classification 67
Multidimensional Data Analysis and Multivariate Statistics 75
Approaches to Asymmetric Multidimensional Scaling with External Information 76
Variable Architecture Bayesian Neural Networks: Model Selection Based on EMC 84
Missing Data in Optimal Scaling 92
Simple Component Analysis Based on RV Coefficient 100
Baum-Eagon Inequality in Probabilistic Labeling Problems 109
Monotone Constrained EM Algorithms for Multinomial Mixture Models 117
Visualizing Dependence of Bootstrap Confidence Intervals for Methods Yielding Spatial Configurations 125
Automatic Discount Selection for Exponential Family State-Space Models 133
A Generalization of the Polychoric Correlation Coefficient 141
The Effects of MEP Distributed Random Effects on Variance Component Estimation in Multilevel Models 149
Calibration Confidence Regions Using Empirical Likelihood 159
Robust Methods and the Forward Search 167
Random Start Forward Searches with Envelopes for Detecting Clusters in Multivariate Data 168
Robust Transformation of Proportions Using the Forward Search 177
The Forward Search Method AppUed to Geodetic Transformations 185
An R Package for the Forward Analysis of Multivariate Data 193
A Forward Search Method for Robust Generahsed Procrustes Analysis 202
A Projection Method for Robust Estimation and Clustering in Large Data Sets 212
Robust Multivariate Calibration 220
Data Mining Methods and Software 228
Procrustes Techniques for Text Mining 229
Building Recommendations from Random Walks on Library OPAC Usage Data 237
A Software Tool via Web for the Statistical Data Analysis: R-php 249
Evolutionary Algorithms for Classification and Regression Trees 257
Variable Selection Using Random Forests 265
Boosted Incremental Tree-based Imputation of Missing Data 273
Sensitivity of Attributes on the Performance of Attribute-Aware Collaborative Filtering 281
Multivariate Methods for Customer Satisfaction and Service Evaluation 289
Customer Satisfaction Evaluation: An Approach Based on Simultaneous Diagonalization 290
Analyzing Evaluation Data: Modelling and Testing for Homogeneity 299
Archetypal Analysis for Data Driven Benchmarking 308
Determinants of Secondary School Dropping Out: a Structural Equation Model 318
Testing Procedures for Multilevel Models with Administrative Data 328
Multidimensional Versus Unidimensional Models for Ability Testing 337
Multivariate Methods in Applied Science 345
A Spatial Mixed Model for Sectorial Labour Market Data 346
The Impact of the New Labour Force Survey on the Employed Classification 355
Using CATPCA to Evaluate Market Regulation 364
Credit Risk Management Through Robust Generalized Linear Models 372
Classification of Financial Returns According to Thresholds Exceedances 382
Nonparametric Clustering of Seismic Events 392
A Non- Homogeneous Poisson Based Model for Daily Rainfall Data 400
A Comparison of Data Mining Methods and Logistic Regression to Determine Factors Associated with Death Following Injury 412
Author Index 419