Advances in Classification and Data Analysis

Table of Contents

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   Book Overview
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   Chapter 1 Galois Lattices of Modal Symbolic Objects
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   Chapter 2 Exploratory Methods for Detecting High Density Regions in Cluster Analysis
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   Chapter 3 A k-means Consensus Classification
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   Chapter 4 MIXISO: a Non-Hierarchical Clustering Method for Mixed-Mode Data
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   Chapter 5 “Stable Clusters”: a new Approach for Clustering Binary Variables
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   Chapter 6 Double k-means Clustering for Simultaneous Classification of Objects and Variables
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   Chapter 7 Categorical FDA Under Prospective Sampling Scheme: a Proposal for Variable Selection
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   Chapter 8 The Effect of Telephone Survey Design on Discriminant Analysis
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    Chapter 9 A Dissimilarity Measure between Probabilistic Symbolic Objects
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    Chapter 10 Recent Experimentation on Euclidean Approximations of Biased Euclidean Distances
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    Chapter 11 Comparing Capital Structure through Similarity Analysis: Evidence about two Industrial Districts
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    Chapter 12 The Geometric Approach to the Comparison of Multivariate Time Trajectories
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    Chapter 13 Ultramine Spaces in Classification
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    Chapter 14 Genetic Algorithms and Clustering: an Application to Fisher’s Iris Data
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    Chapter 15 Using Radial Basis Function Networks for Classification Problems
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    Chapter 16 Unconditional Latent Budget Analysis: a Neural Network Approach
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    Chapter 17 Generalized Constrained Principal Component Analysis
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    Chapter 18 Interaction Terms in Homogeneity Analysis: Higher Order Non-Linear Multiple Correspondence Analysis
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    Chapter 19 Perturbation Models for Principal Component Analysis of Rainwater Pollution Data
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    Chapter 20 Core Matrix Rotation to Natural Zeros in Three-Mode Factor Analysis
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    Chapter 21 A Factorial Technique for Analysing Textual Data with External Information
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    Chapter 22 Subjects on Using Open and Closed-Ended Questions
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    Chapter 23 Alternative Error Term Specifications in the Log-Tobit Model1
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    Chapter 24 A Customer Satisfaction Approach for User-oriented Comparative Evalutations of Services
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    Chapter 25 Mixture Models for Maximum Likelihood Estimation from Incomplete Values
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    Chapter 26 Robust Inference in the Logistic Regression Model
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    Chapter 27 A Plot for Submodel Selection in Generalized Linear Models
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    Chapter 28 On the Use of Multivariate Regression Models in the Context of Multilevel Analysis
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    Chapter 29 Nonparametric Estimation Methods for Sparse Contingency Tables
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    Chapter 30 Reduction of Prediction Error by Bagging Projection Pursuit Regression
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    Chapter 31 Selecting Regression Tree Models: a Statistical Testing Procedure1
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    Chapter 32 Linear Fuzzy Regression Analysis with Asymmetric Spreads
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    Chapter 33 Forecasting Non-Linear Time Series: Empirical Evidences on Financial Data(10)
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    Chapter 34 Dynamics and Comovements of Regional Exports in Italy1
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    Chapter 35 Large-sample Properties of Neural Estimators in a Regression Model with ϕ-mixing Errors1
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    Chapter 36 Subseries Length in MBB Procedure for α-mixing Processes(1)
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    Chapter 37 Modelling a Change of Classification by a Structural Time Series Approach
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    Chapter 38 Spatial Discriminant Analysis Using Covariates Information
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    Chapter 39 Some Aspects of Multivariate Geostatistics
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    Chapter 40 Exploring Multivariate Spatial Data: an Application to Election Data
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    Chapter 41 Measures of Distances for Spatial Data: an Application to the Banking Deposits in the Italian Provinces
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    Chapter 42 Statistical Analysis of Papal Encyclicals
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    Chapter 43 Life Courses as Sequences: an Experiment in Clustering via Monothetic Divisive Algorithms
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    Chapter 44 Significance of the Classification for the Italian Service Sector Activities
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    Chapter 45 A Neural Net Model to Predict High Tides in Venice