Statistical Models for Data Analysis

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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 assembles the selected and refereed proceedings of the biannual conference of the Italian Classification and Data Analysis Group (CLADAG), a section of the Italian Statistical Society. ​

Author(s): Claudio Agostinelli, Mario Romanazzi (auth.), Paolo Giudici, Salvatore Ingrassia, Maurizio Vichi (eds.)
Series: Studies in Classification, Data Analysis, and Knowledge Organization
Edition: 1
Publisher: Springer International Publishing
Year: 2013

Language: English
Pages: 419
Tags: Statistical Theory and Methods; Data Mining and Knowledge Discovery; Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law; Statistics for Business/Economics/Mathematical Finance/Insurance; Assessment, Testi

Front Matter....Pages i-xv
Ordering Curves by Data Depth....Pages 1-8
Can the Students’ Career be Helpful in Predicting an Increase in Universities Income?....Pages 9-16
Model-Based Classification Via Patterned Covariance Analysis....Pages 17-26
Data Stream Summarization by Histograms Clustering....Pages 27-35
Web Panel Representativeness....Pages 37-44
Nonparametric Multivariate Inference Via Permutation Tests for CUB Models....Pages 45-53
Asymmetric Multidimensional Scaling Models for Seriation....Pages 55-62
An Approach to Ranking the Hedge Fund Industry....Pages 63-71
Correction of Incoherences in Statistical Matching....Pages 73-80
The Analysis of Network Additionality in the Context of Territorial Innovation Policy: The Case of Italian Technological Districts....Pages 81-88
Clustering and Registration of Multidimensional Functional Data....Pages 89-97
Classifying Tourism Destinations: An Application of Network Analysis....Pages 99-106
On Two Classes of Weighted Rank Correlation Measures Deriving from the Spearman’s ρ ....Pages 107-114
Beanplot Data Analysis in a Temporal Framework....Pages 115-122
Supervised Classification of Facial Expressions....Pages 123-130
Grouping Around Different Dimensional Affine Subspaces....Pages 131-139
Hospital Clustering in the Treatment of Acute Myocardial Infarction Patients Via a Bayesian Semiparametric Approach....Pages 141-149
A New Fuzzy Method to Classify Professional Profiles from Job Announcements....Pages 151-159
A Metric Based Approach for the Least Square Regression of Multivariate Modal Symbolic Data....Pages 161-169
A Gaussian–Von Mises Hidden Markov Model for Clustering Multivariate Linear-Circular Data....Pages 171-179
A Comparison of Objective Bayes Factors for Variable Selection in Linear Regression Models....Pages 181-189
Evolutionary Customer Evaluation: A Dynamic Approach to a Banking Case....Pages 191-199
Measuring the Success Factors of a Website: Statistical Methods and an Application to a “Web District”....Pages 201-208
Component Analysis for Structural Equation Models with Concomitant Indicators....Pages 209-215
Assessing Stability in NonLinear PCA with Hierarchical Data....Pages 217-224
Using the Variation Coefficient for Adaptive Discrete Beta Kernel Graduation....Pages 225-232
On Clustering and Classification Via Mixtures of Multivariate t-Distributions....Pages 233-240
Simulation Experiments for Similarity Indexes Between Two Hierarchical Clusterings....Pages 241-249
Performance Measurement of Italian Provinces in the Presence of Environmental Goals....Pages 251-258
On the Simultaneous Analysis of Clinical and Omics Data: A Comparison of Globalboosttest and Pre-validation Techniques....Pages 259-267
External Analysis of Asymmetric Multidimensional Scaling Based on Singular Value Decomposition....Pages 269-278
The Credit Accumulation Process to Assess the Performances of Degree Programs: An Adjusted Indicator Based on the Result of Entrance Tests....Pages 279-287
The Combined Median Rank-Based Gini Index for Customer Satisfaction Analysis....Pages 289-296
A Two-Phase Clustering Based Strategy for Outliers Detection in Georeferenced Curves....Pages 297-304
High-Dimensional Bayesian Classifiers Using Non-Local Priors....Pages 305-313
A Two Layers Incremental Discretization Based on Order Statistics....Pages 315-323
Interpreting Error Measurement: A Case Study Based on Rasch Tree Approach....Pages 325-332
Importance Sampling: A Variance Reduction Method for Credit Risk Models....Pages 333-342
A MCMC Approach for Learning the Structure of Gaussian Acyclic Directed Mixed Graphs....Pages 343-351
Symbolic Cluster Representations for SVM in Credit Client Classification Tasks....Pages 353-360
A Further Proposal to Perform Multiple Imputation on a Bunch of Polytomous Items Based on Latent Class Analysis....Pages 361-369
A New Distance Function for Prototype Based Clustering Algorithms in High Dimensional Spaces....Pages 371-378
A Simplified Latent Variable Structural Equation Model with Observable Variables Assessed on Ordinal Scales....Pages 379-387
Optimal Decision Rules for Constrained Record Linkage: An Evolutionary Approach....Pages 389-397
On Matters of Invariance in Latent Variable Models: Reflections on the Concept, and its Relations in Classical and Item Response Theory....Pages 399-407
Back Matter....Pages 409-419