9783031657016 - advanced methods in statistics, data science and related applications: sis 2022, caserta, italy, june 22–24 (springer proceedings in mathematics & statistics, band 467) (2 Ergebnisse)
Sprache: Englisch
Verlag: Springer, 2025
Serie: Springer Proceedings in Mathematics & Statistics, Buch 393 von 464. Buch 393 von 464 - Springer Proceedings in Mathematics & Statistics
- Softcover
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Taschenbuch. Zustand: Neu. Advanced Methods in Statistics, Data Science and Related Applications | SIS 2022, Caserta, Italy, June 22-24 | Matilde Bini (u. a.) | Taschenbuch | Springer Proceedings in Mathematics & Statistics | ix | Englisch | 2025 | Springer | EAN 9783031657016 | Verantwortliche Person für die EU: Springer Verlag… GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer, 2025
Serie: Springer Proceedings in Mathematics & Statistics, Buch 393 von 464. Buch 393 von 464 - Springer Proceedings in Mathematics & Statistics
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book contains a selection of the improved contributions submitted by participants at the conference of the Italian Statistical Society - SIS 2022 held in Caserta 22-24 June 2022. The scientific community of Italian statistics, which gathers arou…nd the SIS, is paying particular attention to the development of statistical techniques increasingly oriented toward the processing of large data, mainly, of complex data. The main goal is to provide the analysis of the data and the interpretability of the obtained results, with a view to decision support and the reliability of the data outcomes. The aim of this volume is to show some of the most relevant contributions of statistical and data analysis methods in preserving the quality of the information to be processed, especially when it comes from different, often non-official sources; as well as in the extraction of knowledge from complex data (textual, network, unstructured and multivalue) and in the explicability of results. Data Science today represents a broad domain of knowledge development from data, where statistical and data analysis methods can make an important contribution in the different domains where data management and processing are required. This volume is addressed to researchers but also to Ph.D. and MSc students in the field of Statistics and Data Science to acquaint them with some of the most recent developments towards which statistical research is orienting, in prevalence in Italy.
