04073nam a22005055i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001300153072001700166072002300183072001600206245015700222250001800379264006900397300006300466336002600529337002600555338003600581347002400617490006200641520196100703650004202664650001802706650002702724650002702751650009902778650007102877650005102948650003202999650002403031700007803055700007803133700008003211710003403291773002603325776003603351776003603387776003603423830006203459856004603521978-3-031-63630-1DE-He21320251030113242.0cr nn 008mamaa241024s2024    sz |    s    |||| 0|eng d  a97830316363017 a10.1007/978-3-031-63630-12doi 4aHA1-4737 7aJHBC2bicssc 7aSOC0270002bisacsh 7aJHBC2thema10aHigh-quality and Timely Statisticsh[electronic resource] :bNew Methods and Applications /cedited by Marco Mingione, Maurizio Vichi, Giorgia Zaccaria.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aX, 271 p. 81 illus., 79 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aStudies in Theoretical and Applied Statistics,x2194-7775  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. 0aSocial sciencesxStatistical methods. 0aStatistics . 0aSampling (Statistics). 0aQuantitative research.14aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.24aStatistics in Business, Management, Economics, Finance, Insurance.24aMethodology of Data Collection and Processing.24aData Analysis and Big Data.24aApplied Statistics.1 aMingione, Marco.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aVichi, Maurizio.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aZaccaria, Giorgia.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303163629508iPrinted edition:z978303163631808iPrinted edition:z9783031636325 0aStudies in Theoretical and Applied Statistics,x2194-777540uhttps://doi.org/10.1007/978-3-031-63630-1