Proceedings of the 2017 International Conference on Education Science and Economic Management (ICESEM 2017)

A New Method of Information Fusion and System Optimization in Statistic Inference

Authors
Xiaonan Xiao
Corresponding Author
Xiaonan Xiao
Available Online October 2017.
DOI
10.2991/icesem-17.2017.43How to use a DOI?
Keywords
statistic inference; information fusion; sampling design and investigation; statistic analysis; system optimization; Fuzzy dynamic cluster analysis; sampling error
Abstract

Sampling design and investigation play a significant role in statistic inference. In order to overcome the defects in traditional method of sampling design and investigation, the article implements multi-index Fuzzy dynamic cluster analysis and offers a unique way of information statistics and packet optimization. In this way the internal information in the sample will be sufficiently explored, thus providing a unique method in statistical analysis and system optimization that will improve the reliability of overall sample grouping and reduce the sampling error on a maximal scale.

Copyright
© 2017, 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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Volume Title
Proceedings of the 2017 International Conference on Education Science and Economic Management (ICESEM 2017)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
October 2017
ISBN
10.2991/icesem-17.2017.43
ISSN
2352-5398
DOI
10.2991/icesem-17.2017.43How to use a DOI?
Copyright
© 2017, 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/).

Cite this article

TY  - CONF
AU  - Xiaonan Xiao
PY  - 2017/10
DA  - 2017/10
TI  - A New Method of Information Fusion and System Optimization in Statistic Inference
BT  - Proceedings of the 2017 International Conference on Education Science and Economic Management (ICESEM 2017)
PB  - Atlantis Press
SP  - 192
EP  - 195
SN  - 2352-5398
UR  - https://doi.org/10.2991/icesem-17.2017.43
DO  - 10.2991/icesem-17.2017.43
ID  - Xiao2017/10
ER  -