Some Considerations on Mathematical Statistics for Dealing with Big Data from the Viewpoint of Educational Innovation

DOI

10.2991/msie-16.2016.71How to use a DOI?

Keywords

Mathematical statistics; Educational innovation; Big data; Statistical analysis/inference.

Abstract

Mathematical statistics is an important branch of mathematics. It is also an important tool to other sciences, such as social science, management science, etc. With the development of information science and technology, on one hand, the appearance of softwares, such as SAS, SPSS, etc., the tasks of computation which related to statistical analysis can be carried out by softwares, on the other hand, the appearance of big data brings about new challenges for mathematical statistics. What should we learn or teach in the future In this paper, from the viewpoint of educational innovation, and based on the understanding of big data, we consider the possible reformation on the related methods of mathematical statistics in the future. We intend to provide some suggestions on the methods of statistical analysis which will be furtherly improved or developed, especially the analysis methods for the data with a whole sample, and statistical inferences for figures, sounds and words.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wei Wang
PY  - 2016/10
DA  - 2016/10
TI  - Some Considerations on Mathematical Statistics for Dealing with Big Data from the Viewpoint of Educational Innovation
BT  - Proceedings of the 2016 International Conference on Management Science and Innovative Education
PB  - Atlantis Press
SP  - 320
EP  - 324
SN  - 2352-5398
UR  - https://doi.org/10.2991/msie-16.2016.71
DO  - 10.2991/msie-16.2016.71
ID  - Wang2016/10
ER  -