Advances in Statistical Models for Data Analysis

Isabella Morlini, Tommaso Minerva, Maurizio Vichi (Herausgeber)

Buch | Softcover

VIII, 268 Seiten

2015 | 1st ed. 2015
Springer International Publishing (Verlag)
978-3-319-17376-4 (ISBN)

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This edited volume focuses on recent research results in classification, multivariate statistics and machine learning and highlights advances in statistical models for data analysis. The volume provides both methodological developments and contributions to a wide range of application areas such as economics, marketing, education, social sciences and environment. The papers in this volume were first presented at the 9th biannual meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, held in September 2013 at the University of Modena and Reggio Emilia, Italy.

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.

Erscheint lt. Verlag	14.9.2015
Reihe/Serie	Studies in Classification, Data Analysis, and Knowledge Organization
Zusatzinfo	VIII, 268 p. 49 illus., 13 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	440 g
Themenwelt	Mathematik / Informatik ► Mathematik ► Statistik
Themenwelt	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
Schlagworte	causal inference • classification • custering • Data Analysis • dglars • Fuzzy methods • Multidimensional methods • Quantile Regression • Statistical Models
ISBN-10	3-319-17376-6 / 3319173766
ISBN-13	978-3-319-17376-4 / 9783319173764
Zustand	Neuware