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Proceedings Paper

Parameter estimation and its application using nonstatistical theory
Author(s): Xintao Xia; Xiaoyang Chen; Zhongyu Wang; Yongzhen Zhang
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Paper Abstract

In many social science and natural science research, researchers are often faced with the problems such as: the system have no enough system distinctive features, the probability distribution unknown and the number of data very small. It is hard to use statistical theory in these researches. A novel method called non-statistical method is proposed in this paper to obtain more characteristics and further information in the system. The method permits the probability distribution unknown and the number of data very small, because of some deficiency of classical statistics in system and information science. In virtue of the special strategy of data processing, more characteristics and further information in the system could be obtained using this method. Some basic concepts, characteristics and elements of non-statistical method including point estimation, interval estimation, optimum level, practicable interval and systemic characteristic mapping etc, are also recommended. The validity of this method is examined by some measurement cases and practical engineering examples.

Paper Details

Date Published: 24 October 2006
PDF: 4 pages
Proc. SPIE 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence, 63572L (24 October 2006); doi: 10.1117/12.717137
Show Author Affiliations
Xintao Xia, Shanghai Univ. (China)
Henan Univ. of Science and Technology (China)
Xiaoyang Chen, Shanghai Univ. (China)
Zhongyu Wang, Beijing Univ. of Aeronautics and Astronautics (China)
Yongzhen Zhang, Henan Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 6357:
Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence

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