001459983 000__ 07057nam\a2200553\i\4500 001459983 001__ 1459983 001459983 003__ OCoLC 001459983 005__ 20230330003237.0 001459983 006__ m\\\\\o\\d\\\\\\\\ 001459983 007__ cr\cn\nnnunnun 001459983 008__ 230224s2022\\\\sz\a\\\\o\\\\\101\0\eng\d 001459983 020__ $$a9783031166099$$q(electronic bk.) 001459983 020__ $$a3031166094$$q(electronic bk.) 001459983 020__ $$z9783031166082 001459983 020__ $$z3031166086 001459983 0247_ $$a10.1007/978-3-031-16609-9$$2doi 001459983 035__ $$aSP(OCoLC)1371101005 001459983 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE 001459983 049__ $$aISEA 001459983 050_4 $$aQA276.A1 001459983 08204 $$a519.5$$223/eng/20230224 001459983 1102_ $$aSocietà italiana di statistica.$$bRiunione scientifica$$n(50th :$$d2021 :$$cOnline) 001459983 24510 $$aStudies in theoretical and applied statistics :$$bSIS 2021, Pisa, Italy, June 21-25 /$$cNicola Salvati, Cira Perna, Stefano Marchetti, Raymond Chambers, editors. 001459983 2463_ $$aSIS 2021 001459983 264_1 $$aCham :$$bSpringer,$$c2022. 001459983 300__ $$a1 online resource (1 volume) :$$billustrations (black and white, and colour). 001459983 336__ $$atext$$btxt$$2rdacontent 001459983 337__ $$acomputer$$bc$$2rdamedia 001459983 338__ $$aonline resource$$bcr$$2rdacarrier 001459983 4901_ $$aSpringer proceedings in mathematics & statistics ;$$vvolume 406 001459983 500__ $$aSelected conference papers. 001459983 5050_ $$aA. Cutillo, M. Mazziotta, A. Pareto, A Composite Index of Economic Well-being for the European Union Countries -- Fulvio De Santis and S. Gubbiotti, Fulvio De Santis and S. Gubbiotti, A dynamic power prior for Bayesian non-inferiority trials -- Cinzia Di Nuzzo and S. Ingrassia, A graphical approach for the selection of the number of clusters in the spectral clustering algorithm -- M. Cefis and M. Carpita, A Higher-Order PLS-SEM approach to evaluate football players performance -- Simone Del Sarto and P. Coppola and M. Troia, A latent Markov approach for clustering contracting authorities over time using public procurement red flags -- I. Primerano, F. Santelli and C. Usala, A multiplex network approach for analyzing university students mobility flows -- A. Briglia, M. Mucciardi and G. Pirrotta, A statistical model for predicting child language acquisition: unfolding qualitative grammatical development by using logistic regression model -- Fulvio Di Stefano and M. Gasparini, Adaptive COVID-19 screening of a subpopulation -- D. Barro, M. Corazza and M. Nardon, Alternative probability weighting functions in behavioral portfolio selection -- C. Scricciolo, Bayesian Quantile Estimation in Deconvolution -- M. Templ, Can the Compositional Nature of Compositional Data be Ignored by using Deep Learning Approaches? -- M. Pratesi, Citizen Data and Citizen Science: a challenge for Official Statistics -- M. Flora and R. Reno, Detecting states of distress in financial markets: the case of the Italian sovereign debt -- Forecasting combination of hierarchical time series: a novel method with an application to CoVid-19 -- Raffaele Mattera and Germana Scepi, Frequency domain clustering: an application to time series with time-varying parameters -- Raffaele Grotti, Heterogeneous Income Dynamics -- Carlo Cavicchia, Pasquale Sarnacchiaro and Paolo Montuori, How much do Knowledge about and Attitude toward mobile phone use affect Behavior while driving? An empirical study using a Structural Equation Model -- Isabella Morlini, Impact of emergency online classes on students motivation and engagement in University during the Covid-19 pandemic: A study case -- Federico Benassi, Annalisa Busetta*, Gerardo Gallo, Manuela Stranges, Local heterogeneities in population growth and decline. A spatial analysis of Italian municipalities -- Elias Fekhari, Bertrand Iooss, Joseph Mure, Luc Pronzato, and Maria-Joao Rendas, Model predictivity assessment: incremental test-set selection and accuracy evaluation -- Antonio Naimoli, Giuseppe Storti, Multiple measures Realized GARCH models -- Venera Tomaselli, Giulio Giacomo Cantone, and Vincenzo Miracula, Multiversal Methods in Observational Studies: The Case of COVID-19 -- Fiorenzo Ambrosino, Giuseppe Giannini, Antonio Lepore, Biagio Palumbo, Gianluca Sposito -- Neural network for the statistical process control of HVAC systems in passenger rail vehicles -- Salvatore D. Tomarchio, Antonio Punzo and Luca Bagnato, On the use of the matrix-variate tail-inflated normal distribution for parsimonious mixture modeling -- Tiziana Tuoto, Davide Di Cecco and Andrea Tancredi, Population size estimation by repeated identifications of units. A Bayesian semi-parametric mixture model approach -- Ivan Sciascia, Andrea Crosino, Gennaro Carotenuto, Andrea Genre, Spatial interdependence of mycorrhizal nuclear size in confocal microscopy -- Federica Piersimoni and Francesco Pantalone and Roberto Benedetti, Spatially balanced indirect sampling to estimate the coverage of the agricultural census -- Michele Costa, The assessment of environmental and income inequalities -- Righi A., Catanese E., Valentino L., Zardetto D., The Italian Social Mood on Economy Index during the Covid-19 Crisis -- Maria Maddalena Barbieri, Francesca Bassi, Antonio Irpino, Rosanna Verde, The rating of journals and the research outcomes in Statistical Sciences in Italian Universities -- Mauro Bruno, Francesca Inglese, Giuseppina Ruocco, Trusted Smart Surveys: architectural and methodological challenges related to new data sources -- Elena Grimaccia, Alessia Naccarato, Gerardo Gallo, Web surveys: profiles of respondents to the Italian Population Census. 001459983 506__ $$aAccess limited to authorized users. 001459983 520__ $$aThis book includes a wide selection of papers presented at the 50th Scientific Meeting of the Italian Statistical Society (SIS2021), held virtually on 21-125 June 2021. It covers a wide variety of subjects ranging from methodological and theoretical contributions to applied works and case studies, giving an excellent overview of the interests of the Italian statisticians and their international collaborations. Intended for researchers interested in theoretical and empirical issues, this volume provides interesting starting points for further research. 001459983 588__ $$aDescription based on print version record. 001459983 650_0 $$aStatistics$$vCongresses. 001459983 655_0 $$aElectronic books. 001459983 7001_ $$aSalvati, Nicola,$$eeditor.$$1https://isni.org/isni/0000000036938771 001459983 7001_ $$aPerna, Cira,$$eeditor.$$1https://isni.org/isni/0000000117333977 001459983 7001_ $$aMarchetti, Stefano,$$eeditor. 001459983 7001_ $$aChambers, Raymond L.,$$d1950-$$eeditor.$$1https://isni.org/isni/0000000495814700 001459983 77608 $$iPrint version:$$aSocietà italiana di statistica. Riunione scientifica (2021 : Online).$$tStudies in theoretical and applied statistics.$$dCham : Springer, 2022$$z9783031166082$$w(OCoLC)1348391542 001459983 830_0 $$aSpringer proceedings in mathematics & statistics ;$$vv. 406. 001459983 852__ $$bebk 001459983 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-16609-9$$zOnline Access$$91397441.1 001459983 909CO $$ooai:library.usi.edu:1459983$$pGLOBAL_SET 001459983 980__ $$aBIB 001459983 980__ $$aEBOOK 001459983 982__ $$aEbook 001459983 983__ $$aOnline 001459983 994__ $$a92$$bISE