Founding of the Big Data Statistics Branch. Issue 1 (2nd January 2019)
- Record Type:
- Journal Article
- Title:
- Founding of the Big Data Statistics Branch. Issue 1 (2nd January 2019)
- Main Title:
- Founding of the Big Data Statistics Branch
- Authors:
- Wang, Shanping
- Abstract:
- ABSTRACT: The founding conference of the Big Data Statistics Branch (BDSB) of the Chinese Association for Applied Statistics (CAAS) was held on 8 December 2018, at East China Normal University (ECNU), Shanghai, China. More than 600 experts and scholars attended the conference. Professor Zhang Riquan was elected as the chairman of the first Board of Directors of the BDSB. Fang Xiangzhong, Chairman of the CAAS, delivered a speech. Professor Wang Zhaojun and Dr Liu Zhong delivered, respectively, keynote reports on the development of Big Data researches and practices, at the conference. The BDSB will be dedicated to building a high-level big data statistics exchange platform for experts and scholars in universities, governments, enterprises, and other fields to better serve the society and serve the country's major strategies.
- Is Part Of:
- Statistical theory and related fields. Volume 3:Issue 1(2019)
- Journal:
- Statistical theory and related fields
- Issue:
- Volume 3:Issue 1(2019)
- Issue Display:
- Volume 3, Issue 1 (2019)
- Year:
- 2019
- Volume:
- 3
- Issue:
- 1
- Issue Sort Value:
- 2019-0003-0001-0000
- Page Start:
- 85
- Page End:
- 88
- Publication Date:
- 2019-01-02
- Subjects:
- Big data -- Big Data Statistics Branch -- Chinese Association for Applied Statistics -- foundation -- East China Normal University
Statistics -- Periodicals
Statistics
Periodicals
Electronic journals
001.422 - Journal URLs:
- http://www.tandfonline.com/loi/tstf20 ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/24754269.2019.1598834 ↗
- Languages:
- English
- ISSNs:
- 2475-4269
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
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- 14009.xml