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
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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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  - https://doi.org/10.2991/icesem-17.2017.43
ID  - Xiao2017/10
ER  -