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Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Dezember 2016
Genre:	Schulbücher
	B / Big Data / Big Data/Analytics / Business mathematics & systems / Economics, finance, business & management / IT in Business / Mathematics and Statistics / Probability & statistics / Statistical Theory and Methods / Statistics / Wirtschaftswissenschaft, Finanzen, Betriebswirtschaft und Management mehr...
ISBN:	9789811025938
EAN-Code:	9789811025938
Verlag:	Springer EN
Einband:	Gebunden
Sprache:	English
Serie:	ICSA Book Series in Statistics
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	5287 gr
Seiten:	222
Illustration:	XVI, 222 p. 41 illus., 20 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.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This book gathers invited presentations from the 2nd Symposium of the ICSA- CANADA Chapter held at the University of Calgary from August 4-6, 2015. The aim of this Symposium was to promote advanced statistical methods in big-data sciences and to allow researchers to exchange ideas on statistics and data science and to embraces the challenges and opportunities of statistics and data science in the modern world.  It addresses diverse themes in advanced statistical analysis in big-data sciences, including methods for administrative data analysis, survival data analysis, missing data analysis, high-dimensional and genetic data analysis, longitudinal and functional data analysis, the design and analysis of studies with response-dependent and multi-phase designs, time series and robust statistics, statistical inference based on likelihood, empirical likelihood and estimating functions. The editorial group selected 14 high-quality presentations from this successful symposium and invitedthe presenters to prepare a full chapter for this book in order to disseminate the findings and promote further research collaborations in this area. This timely book offers new methods that impact advanced statistical model development in big-data sciences.