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Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	August 2019
Genre:	Schulbücher
	Business enterprises—Finance / Business Finance / C / Computational Mathematics and Numerical Analysis / Computer mathematics / Corporate Finance / data modeling / Dimensional Reduction / Economics, finance, business & management / Economics, finance, business and management / High Dimensional Data Quality Validation / Mathematics and Statistics / Mathematische und statistische Software / Numerical analysis / Numerische Mathematik / Pattern Selection / Probability & statistics / Statistics / Statistics and Computing / Statistics and Computing/Statistics Programs / Unternehmensfinanzierung / Wirtschaftswissenschaft, Finanzen, Betriebswirtschaft und Management mehr...
ISBN:	9783030211578
EAN-Code:	9783030211578
Verlag:	Springer EN
Einband:	Gebunden
Sprache:	English
Serie:	#288 - Springer Proceedings in Mathematics & Statistics
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	1125 gr
Seiten:	479
Illustration:	XIV, 479 p. 96 illus., 58 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
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Inhalt:

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 analysis 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 with here.Lastly, it will help Statisticians and Data Scientists recognize their counterparts' fundamental role.