<p>The papers in this book cover issues related to the development of novel statistical models for the analysis of data. They offer solutions for relevant problems in statistical data analysis and contain the explicit derivation of the proposed models as well as their implementation. The book assemb
Advances in Statistical Models for Data Analysis
β Scribed by Isabella Morlini, Tommaso Minerva, Maurizio Vichi (eds.)
- Publisher
- Springer International Publishing
- Year
- 2015
- Tongue
- English
- Leaves
- 264
- Series
- Studies in Classification, Data Analysis, and Knowledge Organization
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
β¦ Table of Contents
Front Matter....Pages i-viii
Using the dglars Package to Estimate a Sparse Generalized Linear Model....Pages 1-8
A Depth Function for Geostatistical Functional Data....Pages 9-16
Robust Clustering of EU Banking Data....Pages 17-25
Sovereign Risk and Contagion Effects in the Eurozone: A Bayesian Stochastic Correlation Model....Pages 27-34
Female Labour Force Participation and Selection Effect: Southern vs Eastern European Countries....Pages 35-43
Asymptotics in Survey Sampling for High Entropy Sampling Designs....Pages 45-53
A Note on the Use of Recursive Partitioning in Causal Inference....Pages 55-62
Meta-Analysis of Poll Accuracy Measures: A Multilevel Approach....Pages 63-71
Families of Parsimonious Finite Mixtures of Regression Models....Pages 73-84
Quantile Regression for Clustering and Modeling Data....Pages 85-95
Nonmetric MDS Consensus Community Detection....Pages 97-105
The Performance of the Gradient-Like Influence Measure in Generalized Linear Mixed Models....Pages 107-116
New Flexible Probability Distributions for Ranking Data....Pages 117-124
Robust Estimation of Regime Switching Models....Pages 125-135
Incremental Visualization of Categorical Data....Pages 137-148
A New Proposal for Tree Model Selection and Visualization....Pages 149-156
Object-Oriented Bayesian Network to Deal with Measurement Error in Household Surveys....Pages 157-164
Comparing Fuzzy and Multidimensional Methods to Evaluate Well-Being in European Regions....Pages 165-176
Cluster Analysis of Three-Way Atmospheric Data....Pages 177-189
Asymmetric CLUster Analysis Based on SKEW-Symmetry: ACLUSKEW....Pages 191-199
Parsimonious Generalized Linear Gaussian Cluster-Weighted Models....Pages 201-209
New Perspectives for the MDC Index in Social Research Fields....Pages 211-219
Clustering Methods for Ordinal Data: A Comparison Between Standard and New Approaches....Pages 221-229
Novelty Detection with One-Class Support Vector Machines....Pages 231-257
Using Discrete-Time Multistate Models to Analyze Studentsβ University Pathways....Pages 259-268
β¦ Subjects
Statistical Theory and Methods; Statistics and Computing/Statistics Programs; Statistics for Business/Economics/Mathematical Finance/Insurance; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Statistic
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