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

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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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  -