LEADER 06551nam 22006015 450 001 9910300122903321 005 20250504233903.0 010 $a3-319-73906-9 024 7 $a10.1007/978-3-319-73906-9 035 $a(CKB)4100000003359306 035 $a(MiAaPQ)EBC5341261 035 $a(DE-He213)978-3-319-73906-9 035 $a(PPN)226693279 035 $a(EXLCZ)994100000003359306 100 $a20180403d2018 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aStudies in Theoretical and Applied Statistics $eSIS 2016, Salerno, Italy, June 8-10 /$fedited by Cira Perna, Monica Pratesi, Anne Ruiz-Gazen 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (335 pages) 225 1 $aSpringer Proceedings in Mathematics & Statistics,$x2194-1017 ;$v227 311 08$a3-319-73905-0 327 $a1 C. Favre-Martinoz et al., Robustness in survey sampling using the conditional bias approach with R implementation -- 2 F. Andreis et al., Methodological perspectives for surveying rare and clustered population: towards a sequentially adaptive approach -- 3 M. L. Aversa et al., Age management in Italian companies. Findings from two INAPP surveys -- 4 M. Calzaroni et al., Generating high quality administrative data: new technologies in a national statistical reuse perspective -- 5 T. Tuoto et al., Exploring solutions for linking Big Data in Official Statistics -- 6 C. Franceschini and N. Loperfido, An Algorithm for Finding Projections with Extreme Kurtosis -- 7 L. Egidi et al., Maxima Units Search (MUS) algorithm: methodology and applications -- 8 D. Passaretti and D. Vistocco, DESPOTA: an algorithm to detect the partition in the extended hierarchy of a dendrogram -- 9 F. Pauli, The p-value case, a review of the debate: issues and plausible remedies -- 10 J. Koskinen et al., A dynamic discrete-choice model for movement flows -- 11 G. Ragozini et al., On the Analysis of Time-Varying Affiliation Networks: the Case of Stage Co-productions -- 12 M. Ichino and K. Umbleja, Similarity and Dissimilarity Measures for Mixed Feature-type Symbolic Data -- 13 L. D'Ambra et al., Dimensionality reduction methods for contingency tables with ordinal variables -- 14 R. Gerlach and G. Storti, Extended Realized GARCH models -- 15 L. Crosato and B. Zavanella, Updating CPI weights through compositional VAR forecasts: an application to the Italian index -- 16 P. Chirico, Prediction intervals for heteroscedastic series by Holt-Winters methods -- 17 F. Benassi et al., Measuring residential segregation of selected foreign groups with aspatial and spatial evenness indices. A case study -- 18 G. Adelfio et al., Space-time FPCA  clustering of multidimensional curves -- 19 D. Rocchini et al., The power of generalized entropy for biodiversity assessment by remote sensing: an open source approach -- 20 A. Lepore etal., An empirical approach to monitoring ship CO^2 emissions via Partial Least-Squares regression -- 21 A. Valentini et al., Promoting statistical literacy to university students: a new approach adopted by Istat -- 22 M. Enea, From South to North? Mobility of Southern Italian students at the transition from the first to the second level university degree -- 23 G. Leckie and H. Goldstein, Monitoring school performance using value-added and value-table models: Lessons from the UK -- 24 G. D'Epifanio, Indexing the Normalized Worthiness of Social Agents -- 25 E. Baldacci, Financial Crises and their Impacts: Data Gaps and Innovation in Statistical Production -- 26 A. Coli and B. Pacini, European welfare systems in official statistics: the national and local levels -- 27 M. Costa, Financial variables analysis by inequality decomposition -- 28 E. Grimaccia and T. Rondinella, A novel perspective in the analysis of sustainability, inclusion and smartness of growth through Europe 2020 indicators -- 29 I.Mingo et al., The Italian population behaviours toward environmental sustainability: a study from Istat surveys -- 30 C. Giusti and S. Marchetti, Estimating the at risk of poverty rate before and after social transfers at provincial level in Italy. 330 $aThis book includes a wide selection of the papers presented at the 48th Scientific Meeting of the Italian Statistical Society (SIS2016), held in Salerno on 8-10 June 2016. Covering a wide variety of topics ranging from modern data sources and survey design issues to measuring sustainable development, it provides a comprehensive overview of the current Italian scientific research in the fields of open data and big data in public administration and official statistics, survey sampling, ordinal and symbolic data, statistical models and methods for network data, time series forecasting, spatial analysis, environmental statistics, economic and financial data analysis, statistics in the education system, and sustainable development. Intended for researchers interested in theoretical and empirical issues, this volume provides interesting starting points for further research. 410 0$aSpringer Proceedings in Mathematics & Statistics,$x2194-1017 ;$v227 606 $aStatistics 606 $aStatistics 606 $aMathematical statistics$xData processing 606 $aSocial sciences$xStatistical methods 606 $aStatistical Theory and Methods 606 $aStatistics in Business, Management, Economics, Finance, Insurance 606 $aStatistics and Computing 606 $aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy 615 0$aStatistics. 615 0$aStatistics. 615 0$aMathematical statistics$xData processing. 615 0$aSocial sciences$xStatistical methods. 615 14$aStatistical Theory and Methods. 615 24$aStatistics in Business, Management, Economics, Finance, Insurance. 615 24$aStatistics and Computing. 615 24$aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. 676 $a519.5 702 $aPerna$b Cira$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPratesi$b Monica$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRuiz-Gazen$b Anne$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910300122903321 996 $aStudies in Theoretical and Applied Statistics$91563786 997 $aUNINA LEADER 02109oas 2200913 a 450 001 9910145979103321 005 20251121213018.0 024 8 $aeb66485574 035 $a(DE-599)ZDB2452926-6 035 $a(OCoLC)250593258 035 $a(CONSER) 2011247762 035 $a(CKB)1000000000435725 035 $a(EXLCZ)991000000000435725 100 $a20080915b20082009 uy 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aClinical medicine$iPediatrics 210 $aAuckland, N.Z. $cLibertas Academica 300 $aRefereed/Peer-reviewed 311 08$a1178-220X 517 3 $aPediatrics 531 10$aClin Med Pediatr 531 1 $aClin. med., Pediatr. 606 $aPediatrics$vPeriodicals 606 $aPediatrics 606 $aPe?diatrie$vPe?riodiques 606 $aPediatrics$2fast$3(OCoLC)fst01056503 606 $aPediatria$2thub 608 $aPeriodical. 608 $aFulltext. 608 $aPeriodicals. 608 $aPeriodicals.$2fast 608 $aPeriodicals.$2lcgft 608 $aRevistes electròniques.$2thub 615 0$aPediatrics 615 12$aPediatrics. 615 6$aPe?diatrie 615 7$aPediatrics. 615 7$aPediatria. 676 $a618.92005 686 $a610$a800$2zdbs 801 0$bSNM 801 1$bSNM 801 2$bHEBIS 801 2$bNZ1 801 2$bAU@ 801 2$bDEBBG 801 2$bGWDNB 801 2$bPFM 801 2$bOCLCQ 801 2$bNHM 801 2$bCUS 801 2$bOCLCQ 801 2$bGBVCP 801 2$bNLM 801 2$bOCLCO 801 2$bOCLCQ 801 2$bOCLCO 801 2$bOCLCF 801 2$bOCLCQ 801 2$bOCLCO 801 2$bCASUM 801 2$bOCLCQ 801 2$bOCLCA 801 2$bOCLCQ 801 2$bBWN 801 2$bOCLCQ 801 2$bUEJ 801 2$bOCLCQ 801 2$bAUD 801 2$bOCLCQ 801 2$bSXB 906 $aJOURNAL 912 $a9910145979103321 996 $aClinical medicine$9806222 997 $aUNINA