Advanced Statistical Methods in Data Science

Language: English

Published by Springer, 2016

9811025932 / 9789811025938

Series: Book 7 of 19 - ICSA Book Series in Statistics

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9789811025938

Title
Advanced Statistical Methods in Data Science
Author
Ding-Geng Chen
Publisher
Springer
Publication year
2016
Condition
Neu
Binding
Buch
Language
English
ISBN 10
9811025932
ISBN 13
9789811025938
Item weight
573 grams
Dimensions
241x160x18 mm
Series
Book 7 of 19: ICSA Book Series in Statistics

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

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