New developments in classification and mulitivariate analysis.- new methodologies and algorithms with applications

New developments in classification and multivariate analysis New methodologies and algorithms with applications

Inhalt
I Classification and Multidimensional Scaling.- Cluster Analysis.- Galois Lattices of Modal Symbolic Objects.- Exploratory Methods for Detecting High Density Regions in Cluster Analysis.- A k-means Consensus Classification.- MIXISO: A Non-Hierarchical Clustering Method for Mixed-Mode Data.- Stable Clusters: A New Approach for Clustering Binary Variables.- Double k-means Clustering for Simultaneous Classification of Objects and Variables.- Discriminant Analysis.- Categorical FDA Under Prospective Sampling Scheme: a Proposal for Variable Selection.- The Effect of Telephone Survey Design on Discriminant Analysis.- Proximity Structures Analysis and Multidimensional Scaling.- A Dissimilarity Measure Between Probabilistic Symbolic Objects.- Recent Experimentation on Euclidean Approximations of Biased Euclidean Distances.- Comparing Capital Structure through Similarity Analysis: Evidence about Two Industrial Districts.- The Geometric Approach to the Comparison of Multivariate Time Trajectories.- Ultramine Spaces in Classification.- Genetic Algorithms and Neural Network.- Genetic Algorithms and Clustering: an Application to Fisher's Iris Data.- Using Radial Basis Function Networks for Classification Problems.- Unconditional Latent Budget Analysis: a Neural Network Approach.- II Multivariate Data Analysis.- Factorial Methods.- Generalized Constrained Principal Component Analysis.- Interaction Terms in Homogeneity Analysis: Higher Order Non-Linear Multiple Correspondence Analysis.- Perturbation Models for Principal Component Analysis of Rainwater Pollution Data.- Core Matrix Rotation to Natural Zeros in Three-Mode Factor Analysis.- Textual Data Analysis.- A Factorial Technique for Analysing Textual Data with External Information.- Subjects on Using Open and Closed-EndedQuestions.- Regression Models for Data Analysis.- Alternative Error Term Specifications in the Log-Tobit Model.- A Customer Satisfaction Approach for User-Oriented Comparative Evalutations of Services.- Mixture Models for Maximum Likelihood Estimation from Incomplete Values.- Robust Inference in the Logistic Regression Model.- A Plot for Submodel Selection in Generalized Linear Models.- On the Use of Multivariate Regression Models in the Context of Multilevel Analysis.- Nonparametric Methods.- Nonparametric Estimation Methods for Sparse Contingency Tables.- Reduction of Prediction Error by Bagging Projection Pursuit Regression.- Selecting Regression Tree Models: a Statistical Testing Procedure.- Linear Fuzzy Regression Analysis with Asymmetric Spreads.- III Spatial and Time Series Data Analysis.- Time Series Analysis.- Forecasting Non-Linear Time Series: Empirical Evidences on Financial Data.- Dynamics and Comovements of Regional Exports in Italy.- Large-sample Properties of Neural Estimators in a Regression Model with ?-mixing Errors.- Subseries Length in MBB Procedure for ?-mixing Processes.- Modelling a Change of Classification by a Structural Time Series Approach.- Spatial Data Analysis.- Spatial Discriminant Analysis Using Covariates Information.- Some Aspects of Multivariate Geostatistics.- Exploring Multivariate Spatial Data: an Application to Election Data.- Measures of Distances for Spatial Data: an Application to the Banking Deposits in the Italian Provinces.- IV Applications and Case Studies.- Statistical Analysis of Papal Encyclicals.- Life Courses as Sequences: an Experiment in Clustering via Monothetic Divisive Algorithms.- Significance of the Classification for the Italian Service Sector Activities.- A Neural Net Model to Predict High Tides in Venice.-Author Index.- Keywords Index.