Table Of Content

Studies in Classifi cation, Data Analysis, and Knowledge Organization Paolo Giudici Salvatore Ingrassia Editors Maurizio Vichi Statistical Models for Data Analysis Studies in Classification, Data Analysis, and Knowledge Organization ManagingEditors EditorialBoard H.-H.Bock,Aachen D.Baier,Cottbus W.Gaul,Karlsruhe F.Critchley,MiltonKeynes M.Vichi,Rome R.Decker,Bielefeld C.Weihs,Dortmund E.Diday,Paris M.Greenacre,Barcelona C.N.Lauro,Naples J.Meulman,Leiden P.Monari,Bologna S.Nishisato,Toronto N.Ohsumi,Tokyo O.Opitz,Augsburg G.Ritter,Passau M.Schader,Mannheim Forfurthervolumes: http://www.springer.com/series/1564 Paolo Giudici Salvatore Ingrassia (cid:2) Maurizio Vichi Editors Statistical Models for Data Analysis 123 Editors PaoloGiudici SalvatoreIngrassia DepartmentofEconomicsandManagement DepartmentofEconomicsandBusiness UniversityofPavia UniversityofCatania Pavia Catania Italy Italy MaurizioVichi DepartmentofStatistics UniversityofRome“LaSapienza” Rome Italy ISSN1431-8814 ISBN978-3-319-00031-2 ISBN978-3-319-00032-9(eBook) DOI10.1007/978-3-319-00032-9 SpringerChamHeidelbergNewYorkDordrechtLondon LibraryofCongressControlNumber:2013941993 ©SpringerInternationalPublishingSwitzerland2013 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpartof thematerialisconcerned,specificallytherightsoftranslation,reprinting,reuseofillustrations,recitation, broadcasting,reproductiononmicrofilmsorinanyotherphysicalway,andtransmissionorinformation storageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilarmethodology nowknownorhereafterdeveloped.Exemptedfromthislegalreservationarebriefexcerptsinconnection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’slocation,initscurrentversion,andpermissionforusemustalwaysbeobtainedfromSpringer. PermissionsforusemaybeobtainedthroughRightsLinkattheCopyrightClearanceCenter.Violations areliabletoprosecutionundertherespectiveCopyrightLaw. Theuseofgeneraldescriptivenames,registerednames,trademarks,servicemarks,etc.inthispublication doesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfromtherelevant protectivelawsandregulationsandthereforefreeforgeneraluse. While the advice and information in this book are believed to be true and accurate at the date of publication,neithertheauthorsnortheeditorsnorthepublishercanacceptanylegalresponsibilityfor anyerrorsoromissionsthatmaybemade.Thepublishermakesnowarranty,expressorimplied,with respecttothematerialcontainedherein. SpringerispartofSpringerScience+BusinessMedia(www.springer.com) Preface This volume contains revised versions of the selected papers presented at the 8th biannual meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, organized by the Department of Economics and ManagementoftheUniversityofPavia,inSeptember2011. Theconferencehasencompassed170presentations,organizedin3plenarytalks and 46 sessions. With 230 attendees from 10 different countries, the conference provided an attractive interdisciplinary international forum for discussion and mutualexchangeof knowledge.The topicsofall plenaryandspecializedsessions were chosen, in a peer-reviewprocess,to fit the mission of CLADAG which is to promote methodological,computationaland applied research, within the fields of classification,dataanalysisandmultivariatestatistics. Thecontributionsinthisvolumewereselectedinasecondpeer-reviewprocess, after the conference. In addition to the fundamental areas of clustering and dis- crimination,multidimensionaldata analysisand data mining,the volumecontains manuscriptsconcerningdataanalysisandstatisticalmodellinginapplicationareas like economics and finance, education and social sciences and environmentaland biomedicalsciences. Wewouldliketoexpressourgratitudetoallmembersofthescientificprogram committee,fortheirabilityinattractinginterestingcontributions.Wealsothankthe sessionorganizers,theinvitedspeakers,thechairpersonsandthediscussantsofall sessions for a very stimulating scientific atmosphere. We are very grateful to the referees,fortheircarefulreviewsofthesubmittedpapersandforthetimespentin thisprofessionalactivity. We gratefully acknowledge financial support from the Italian Ministry of Research (PRIN programme), the University of Pavia, the Credito Valtellinese bankinggroupandtheITcompanyISED.We alsothankPRAGMACongressifor theprecioussupportintheorganizationoftheconference. A special thanksis due to the local organizingcommittee and, in particular,to itscoordinator,Dr.PaolaCerchiello,foraverywellorganizedconference,withthe related scientific proceedings. Finally we would like to thank Ruth Milewski and v vi Preface Dr.MartinaBihnofSpringer-Verlag,Heidelberg,forthesupportanddedicationto theproductionofthisvolume. Pavia,Italy PaoloGiudici Catania,Italy SalvatoreIngrassia Roma,Italy MaurizioVichi 7December2012 Contents OrderingCurvesbyDataDepth ............................................... 1 ClaudioAgostinelliandMarioRomanazzi CantheStudents’CareerbeHelpfulinPredictinganIncrease inUniversitiesIncome?.......................................................... 9 Massimo Attanasio, GiovanniBoscaino, Vincenza Capursi, andAntonellaPlaia Model-BasedClassificationViaPatternedCovarianceAnalysis ........... 17 LucaBagnato DataStreamSummarizationbyHistogramsClustering .................... 27 AntonioBalzanella,LidiaRivoli,andRosannaVerde WebPanelRepresentativeness.................................................. 37 AnnamariaBianchiandSilviaBiffignandi NonparametricMultivariateInferenceViaPermutationTests forCUBModels.................................................................. 45 StefanoBonnini,LuigiSalmaso,andFrancescaSolmi AsymmetricMultidimensionalScalingModelsforSeriation............... 55 GiuseppeBove AnApproachtoRankingtheHedgeFundIndustry......................... 63 RiccardoBramante CorrectionofIncoherencesinStatisticalMatching.......................... 73 AndreaCapotortiandBarbaraVantaggi TheAnalysisofNetworkAdditionalityintheContext ofTerritorialInnovationPolicy:TheCaseofItalian TechnologicalDistricts........................................................... 81 CarloCapuano,DomenicoDeStefano,AlfredoDelMonte, MariaRosariaD’Esposito,andMariaProsperinaVitale vii viii Contents ClusteringandRegistrationofMultidimensionalFunctionalData........ 89 M.Chiodi,G.Adelfio,A.D’Alessandro,andD.Luzio ClassifyingTourismDestinations:AnApplicationofNetwork Analysis ........................................................................... 99 RosarioD’AgataandVeneraTomaselli OnTwo Classes ofWeightedRankCorrelationMeasures DerivingfromtheSpearman’s¡ ............................................... 107 LiviaDancelli,MaricaManisera,andMarikaVezzoli BeanplotDataAnalysisinaTemporalFramework.......................... 115 CarloDrago,CarloLauro,andGermanaScepi SupervisedClassificationofFacialExpressions .............................. 123 S.Fontanella,C.Fusilli,andL.Ippoliti GroupingAroundDifferentDimensionalAffineSubspaces ................ 131 L.A.Garc´ıa-Escudero,A.Gordaliza,C.Matrań,andA.Mayo-Iscar HospitalClusteringintheTreatmentofAcuteMyocardial InfarctionPatientsViaaBayesianSemiparametricApproach............. 141 AlessandraGuglielmi,FrancescaIeva,AnnaMariaPaganoni, andFabrizioRuggeri ANewFuzzyMethodtoClassifyProfessionalProfilesfromJob Announcements .................................................................. 151 DomenicaFioredistellaIezzi, MarioMastrangelo, andScipioneSarlo AMetricBasedApproachfortheLeastSquareRegression ofMultivariateModalSymbolicData ......................................... 161 AntonioIrpinoandRosannaVerde AGaussian–VonMisesHiddenMarkovModelforClustering MultivariateLinear-CircularData............................................. 171 FrancescoLagonaandMarcoPicone A Comparison of Objective Bayes Factors for Variable SelectioninLinearRegressionModels ........................................ 181 LucaLaRocca EvolutionaryCustomerEvaluation:ADynamicApproach toaBankingCase................................................................ 191 CaterinaLiberatiandPaoloMariani Measuring the Success Factorsof a Website: Statistical MethodsandanApplicationtoa“WebDistrict” ............................ 201 EleonoraLorenziniandPaolaCerchiello Contents ix Component Analysis for Structural Equation Models withConcomitantIndicators ................................................... 209 PietroGiorgioLovaglioandGiorgioVittadini AssessingStabilityinNonLinearPCAwithHierarchicalData............. 217 MaricaManisera Usingthe VariationCoefficientforAdaptiveDiscreteBeta KernelGraduation............................................................... 225 AngeloMazzaandAntonioPunzo OnClusteringandClassificationViaMixturesofMultivariate t-Distributions.................................................................... 233 PaulD.McNicholas SimulationExperimentsforSimilarityIndexesBetweenTwo HierarchicalClusterings ........................................................ 241 IsabellaMorlini PerformanceMeasurementofItalianProvincesinthePresence ofEnvironmentalGoals ......................................................... 251 EugeniaNissiandAgneseRapposelli OntheSimultaneousAnalysisofClinicalandOmicsData: AComparisonofGlobalboosttestandPre-validationTechniques ......... 259 Margret-RuthOelkerandAnne-LaureBoulesteix ExternalAnalysisofAsymmetricMultidimensionalScaling BasedonSingularValueDecomposition ...................................... 269 AkinoriOkadaandHiroyukiTsurumi TheCreditAccumulationProcesstoAssessthePerformances ofDegreePrograms:AnAdjustedIndicatorBased ontheResultofEntranceTests................................................. 279 MarianoPorcuandIsabellaSulis TheCombinedMedianRank-BasedGiniIndexforCustomer SatisfactionAnalysis............................................................. 289 EmanuelaRaffinetti ATwo-PhaseClusteringBasedStrategyforOutliersDetection inGeoreferencedCurves........................................................ 297 ElviraRomanoandAntonioBalzanella High-DimensionalBayesianClassifiersUsingNon-LocalPriors........... 305 DavidRossell,DonatelloTelesca,andValenE.Johnson ATwoLayersIncrementalDiscretizationBasedonOrderStatistics...... 315 ChristopheSalperwyckandVincentLemaire