Advanced Statistical Methods in Data Science - Couverture souple

9789811096624: Advanced Statistical Methods in Data Science

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ISBN 10 : 9811096627 ISBN 13 : 9789811096624

Editeur : Springer, 2018

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�diteurSpringer
Date d'�dition2018
ISBN 10 9811096627
ISBN 13 9789811096624
ReliureBroch�
Langueanglais
Nombre de pages240
�diteurChen Ding-Geng, Chen Jiahua, Lu Xuewen, Yi Grace Y., Yu Hao

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Advanced Statistical Methods in Data Science

Ding-Geng Chen

Edit� par Springer Nature Singapore Jul 2018, 2018

ISBN 10 : 9811096627 ISBN 13 : 9789811096624

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 invited the 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. 240 pp. Englisch. N� de r�f. du vendeur 9789811096624

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Advanced Statistical Methods in Data Science

Ding-Geng Chen

Edit� par Springer Nature Singapore, Springer Nature Singapore, 2018

ISBN 10 : 9811096627 ISBN 13 : 9789811096624

Neuf Taschenbuch

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. 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. N� de r�f. du vendeur 9789811096624

Contacter le vendeur