LEADER 04329nam 22006495 450 001 9910899898203321 005 20250808083545.0 010 $a3-031-63630-9 024 7 $a10.1007/978-3-031-63630-1 035 $a(MiAaPQ)EBC31738396 035 $a(Au-PeEL)EBL31738396 035 $a(CKB)36391574300041 035 $a(DE-He213)978-3-031-63630-1 035 $a(EXLCZ)9936391574300041 100 $a20241024d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHigh-quality and Timely Statistics $eNew Methods and Applications /$fedited by Marco Mingione, Maurizio Vichi, Giorgia Zaccaria 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (274 pages) 225 1 $aStudies in Theoretical and Applied Statistics,$x2194-7775 311 08$a3-031-63629-5 330 $aThis book addresses a wide range of recent methodological aspects, applications and best practices of statistics production. It comprises a selection of peer-reviewed contributions of methodological and applied interest presented at the 4th Conference of European Statistics Stakeholders, CESS 2022, held in Rome, Italy, on October 20-21, 2022. The first part discusses statistical methods with applications to environmental risk assessment, sentinels data, surveillance systems during the Covid-19 pandemic, healthcare risk management, the analysis of regional or structural changes of scale, household distributional accounts, regional rental prices on municipalities, the network topology of the Euro area interbank market, tourism statistics and big data, statistical literacy, and Sustainable Development Goal composite indicators for EU countries. The second part focuses on statistical methodologies for complex data analysis, namely the optimal number of clusters to rank a model-based index, clustering methods for asymmetric data using spectral approaches, a family of parsimonious matrix-variate mixture models for heavy-tailed data, the importance of robust second-stage regressions for financial data, and on perturbation methods. In view of the overarching theme ?The European Data Ecosystem for the Statistical Information of the Digital Age? and the importance of statistical data for monitoring the progress of the United Nations? Sustainable Development Goals, the CESS 2022 meeting provided a forum for discussion on methodologies, results, challenges and best practices among methodologists, producers, and users of European Statistics from academia, the national statistical offices and the institutions of the European Union. Chapter Estimating regional rental prices on LAU 2 municipalities in North Rhine-Westphalia is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. 410 0$aStudies in Theoretical and Applied Statistics,$x2194-7775 606 $aSocial sciences$xStatistical methods 606 $aStatistics 606 $aSampling (Statistics) 606 $aQuantitative research 606 $aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy 606 $aStatistics in Business, Management, Economics, Finance, Insurance 606 $aMethodology of Data Collection and Processing 606 $aData Analysis and Big Data 606 $aApplied Statistics 615 0$aSocial sciences$xStatistical methods. 615 0$aStatistics. 615 0$aSampling (Statistics) 615 0$aQuantitative research. 615 14$aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. 615 24$aStatistics in Business, Management, Economics, Finance, Insurance. 615 24$aMethodology of Data Collection and Processing. 615 24$aData Analysis and Big Data. 615 24$aApplied Statistics. 676 $a519.5 700 $aMingione$b Marco$01767678 701 $aVichi$b Maurizio$0117728 701 $aZaccaria$b Giorgia$01767679 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910899898203321 996 $aHigh-quality and Timely Statistics$94213988 997 $aUNINA