Proceedings of 3rd International Symposium on Social Science (ISSS 2017)

Statistics in the Age of Big Data: Opportunities and Challenges

Authors
Guoli Liu
Corresponding Author
Guoli Liu
Available Online May 2017.
DOI
https://doi.org/10.2991/isss-17.2017.19How to use a DOI?
Keywords
Big data; statistics; opportunities
Abstract
The era of large data will change the way we understand and form statistical information. To store, integrate, process and analyze massive amounts of data can be viewed as a new data analysis method. This kind of intrinsic nature based on data relations determines the inevitable relationship between large data and statistics. Big data provides both opportunities and challenges for the development of statistics. The opportunities are reflected in: the improvement of statistical quality, the decline in statistical costs, and the expansion of the field of statistical action. The challenges are reflected in: the standard of large amounts of samples to be adjusted, the sample selection criteria and form to be re-determined, the statistical software to be upgraded and developed.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
3rd International Symposium on Social Science (ISSS 2017)
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
May 2017
ISBN
978-94-6252-341-8
ISSN
2352-5398
DOI
https://doi.org/10.2991/isss-17.2017.19How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Guoli Liu
PY  - 2017/05
DA  - 2017/05
TI  - Statistics in the Age of Big Data: Opportunities and Challenges
BT  - 3rd International Symposium on Social Science (ISSS 2017)
PB  - Atlantis Press
SN  - 2352-5398
UR  - https://doi.org/10.2991/isss-17.2017.19
DO  - https://doi.org/10.2991/isss-17.2017.19
ID  - Liu2017/05
ER  -