00743nam0-22002891i-450-99000049170040332120071025123055.0000049170FED01000049170(Aleph)000049170FED0100004917020020821d1947----km-y0itay50------baenga-------001yyElectronicsF. G. SpreadburyLondonPitman1947698 p.ill.22 cmElettronica537.5Spreadbury,Frank George299605ITUNINARICAUNIMARCBK99000049170040332110 E I 182820DINELDINELElectronics333053UNINA04124nam 22007455 450 991101053800332120250616135235.03-031-96033-510.1007/978-3-031-96033-8(CKB)39331245300041(MiAaPQ)EBC32157308(Au-PeEL)EBL32157308(OCoLC)1524425221(DE-He213)978-3-031-96033-8(EXLCZ)993933124530004120250616d2025 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierStatistics for Innovation IV SIS 2025, Short Papers, Contributed Sessions 3 /edited by Enrico di Bella, Vincenzo Gioia, Corrado Lagazio, Susanna Zaccarin1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (0 pages)Italian Statistical Society Series on Advances in Statistics,3059-21433-031-96032-7 This book presents peer-reviewed short papers on methodological and applied statistical research presented at the Italian Statistical Society’s international conference on “Statistics for Innovation”, SIS 2025, held in Genoa, Italy, June 16-18, 2025. It is the last of four volumes, featuring the third part of the contributions presented in the Contributed Sessions. Providing a comprehensive overview of innovations in modern statistical methods and applications, the volumes address a large number of topics of current interest, contributing to a rapid dissemination of quantitative methods for data analysis across the various fields of scientific research and social life. The volumes underpin the role of statistics and data science in fostering innovation in numerous fields, including business, industry, finance, technology, environment, health and medicine, official statistics, public policy, welfare, social issues and sustainable development. One of the aims of the Italian Statistical Society (SIS) is to promote scientific activities for the development of statistical sciences. Together with the biennial international Scientific Meeting, the intermediate international statistical conferences on a particular topic of interest represent the Society’s most important events which bring together national and international researchers and professionals to exchange ideas and discuss recent advances and developments in theoretical and applied statistics.Italian Statistical Society Series on Advances in Statistics,3059-2143StatisticsStatisticsQuantitative researchSocial sciencesStatistical methodsDemographyPopulationStatistical Theory and MethodsApplied StatisticsData Analysis and Big DataStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public PolicyStatistics in Business, Management, Economics, Finance, InsurancePopulation and DemographyStatistics.Statistics.Quantitative research.Social sciencesStatistical methods.Demography.Population.Statistical Theory and Methods.Applied Statistics.Data Analysis and Big Data.Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.Statistics in Business, Management, Economics, Finance, Insurance.Population and Demography.519.5di Bella Enrico1585534Gioia Vincenzo1828596Lagazio Corrado1357713Zaccarin Susanna799301MiAaPQMiAaPQMiAaPQBOOK9911010538003321Statistics for Innovation IV4397503UNINA01814nam 2200397z- 450 9910346912103321202102111000019488(CKB)4920000000101401(oapen)https://directory.doabooks.org/handle/20.500.12854/53500(oapen)doab53500(EXLCZ)99492000000010140120202102d2010 |y 0gerurmn|---annantxtrdacontentcrdamediacrrdacarrierMikroskopische Modellierung des Außenverkehrs eines PlanungsraumsKIT Scientific Publishing20101 online resource (IX, 137 p. p.)Schriftenreihe / Institut für Verkehrswesen, Karlsruher Institut für Technologie3-86644-553-9 Im Rahmen der mikroskopischen Verkehrsnachfragemodellierung wird ein Modell vorgestellt, das den für den Planungsraum relevanten Verkehr der in den Außenzellen wohnenden Personen abbildet. Voraussetzung dafür ist die Übertragbarkeit von individuellen Mobilitätsdaten, die auf Basis der Daten des Deutschen Mobilitätspanels (MOP) analysiert wird. Darüber hinaus wird eine Methode zur Abgrenzung von Untersuchungsgebieten für beliebige Planungsräume in Deutschland dargelegt.History of engineering and technologybicsscAußenverkehrMikroskopischMobilitätsdatenUntersuchungsgebietVerkehrsnachfragemodellierungHistory of engineering and technologyKagerbauer Martinauth1305994BOOK9910346912103321Mikroskopische Modellierung des Außenverkehrs eines Planungsraums3028112UNINA