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Advances in Statistical Models for Data Analysis : Studies in Classification, Data Analysis, and Knowledge Organization - Isabella Morlini

Advances in Statistical Models for Data Analysis

By: Isabella Morlini (Editor), Tommaso Minerva (Editor), Maurizio Vichi (Editor)

Paperback | 14 September 2015

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Using the dglars Package to Estimate a Sparse Generalized Linear Model.- A Depth function for Geostatistical Functional Data.- Robust Clustering of EU Banking Data.- Sovereign Risk and Contagion Effects in the Eurozone: a Bayesian Stochastic Correlation Model.- Female Labour Force Participation and Selection Effect: Southern vs Eastern European Countries.- Asymptotics in Survey Sampling for High Entropy Sampling Design.- A Note On the Use of Recursive Partitioning in Causal Inference.- Meta-Analysis of Poll Accuracy Measures: A Multilevel Approach.- Families of Parsimonious Finite Mixtures of Regression Models.- Quantile Regression for Clustering and Modeling Data.- Non-metric MDS Consensus Community Detection.- The performance of the Gradient-like Influence Measure in Generalized Linear Mixed Models.- New Flexible Probability Distributions for Ranking Data.- Robust Estimation of Regime Switching Models.- Incremental Visualization of Categorical Data.- A new Proposal for Tree Model Selection and Visualization.- Object-Oriented Bayesian Network to Deal with Measurement Error in Household Surveys.- Comparing Fuzzy and Multidimensional Methods to Evaluate Well-being in European Regions.- Cluster Analysis of Three-way Atmospheric Data.- Asymmetric CLUster Analysis Based on SKEW-symmetry: ACLUSKEW.- Parsimonious Generalized Linear Gaussian Cluster-Weighted Models.- New perspectives for the MDC Index in Social Research Fields.- Clustering Methods for Ordinal Data: A Comparison Between Standard and New Approaches.- Novelty Detection with One-class Support Vector Machines.- Using Discrete-time Multi-State Models to Analyze Students' University Pathways.

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