LEADER 05367nam 22006855 450 001 9910300242403321 005 20200706163045.0 010 $a3-319-17377-4 024 7 $a10.1007/978-3-319-17377-1 035 $a(CKB)3710000000474147 035 $a(EBL)4178198 035 $a(SSID)ssj0001584813 035 $a(PQKBManifestationID)16265106 035 $a(PQKBTitleCode)TC0001584813 035 $a(PQKBWorkID)14866389 035 $a(PQKB)10591417 035 $a(DE-He213)978-3-319-17377-1 035 $a(MiAaPQ)EBC4178198 035 $a(PPN)190531495 035 $a(EXLCZ)993710000000474147 100 $a20150904d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAdvances in Statistical Models for Data Analysis /$fedited by Isabella Morlini, Tommaso Minerva, Maurizio Vichi 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (264 p.) 225 1 $aStudies in Classification, Data Analysis, and Knowledge Organization,$x1431-8814 300 $aDescription based upon print version of record. 311 $a3-319-17376-6 320 $aIncludes bibliographical references at the end of each chapters. 327 $aUsing 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. 330 $aThis edited volume focuses on recent research results in classification, multivariate statistics and machine learning and highlights advances in statistical models for data analysis. The volume provides both methodological developments and contributions to a wide range of application areas such as economics, marketing, education, social sciences and environment. The papers in this volume were first presented at the 9th biannual meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, held in September 2013 at the University of Modena and Reggio Emilia, Italy. 410 0$aStudies in Classification, Data Analysis, and Knowledge Organization,$x1431-8814 606 $aStatistics  606 $aStatistical Theory and Methods$3https://scigraph.springernature.com/ontologies/product-market-codes/S11001 606 $aStatistics and Computing/Statistics Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/S12008 606 $aStatistics for Business, Management, Economics, Finance, Insurance$3https://scigraph.springernature.com/ontologies/product-market-codes/S17010 606 $aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/S17020 606 $aStatistics for Social Sciences, Humanities, Law$3https://scigraph.springernature.com/ontologies/product-market-codes/S17040 615 0$aStatistics . 615 14$aStatistical Theory and Methods. 615 24$aStatistics and Computing/Statistics Programs. 615 24$aStatistics for Business, Management, Economics, Finance, Insurance. 615 24$aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 615 24$aStatistics for Social Sciences, Humanities, Law. 676 $a519.5 702 $aMorlini$b Isabella$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMinerva$b Tommaso$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aVichi$b Maurizio$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910300242403321 996 $aAdvances in statistical models for data analysis$91522626 997 $aUNINA