9783030211608 - new statistical developments in data science: sis 2017, florence, italy, june 28-30 (springer proceedings in mathematics & statistics, 288, band 288) (2 Ergebnisse)

Sprache: Englisch
Verlag: Springer 2020
Serie: Springer Proceedings in Mathematics & Statistics, Buch 285 von 464. Buch 285 von 464 - Springer Proceedings in Mathematics & Statistics
- Softcover
Anbieter: preigu, Osnabrück, Deutschlandpreigu
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Taschenbuch. Zustand: Neu. New Statistical Developments in Data Science | SIS 2017, Florence, Italy, June 28-30 | Alessandra Petrucci (u. a.) | Taschenbuch | Springer Proceedings in Mathematics & Statistics | xiv | Englisch | 2020 | Springer | EAN 9783030211608 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergarte…nstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Sprache: Englisch
Verlag: Springer International Publishing 2020
Serie: Springer Proceedings in Mathematics & Statistics, Buch 285 von 464. Buch 285 von 464 - Springer Proceedings in Mathematics & Statistics
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 128,39
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume collects the extended versions of papers presented at the SIS Conference 'Statistics and Data Science: new challenges, new generations', held in Florence, Italy on June 28-30, 2017.Highlighting the central role of statistics and data anal…ysis methods in the era of Data Science, the contributions offer an essential overview of the latest developments in various areas of statistics research.The 35 contributions have been divided into six parts, each of which focuses on a core area contributing to 'Data Science'.The book covers topics including strong statistical methodologies, Bayesian approaches, applications in population and social studies, studies in economics and finance, techniques of sample design and mathematical statistics.Though the book is mainly intended for researchers interested in the latest frontiers of Statistics and Data Analysis, it also offers valuable supplementary material for students of the disciplines dealt withhere. Lastly, it will help Statisticians and Data Scientists recognize their counterparts' fundamental role.