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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xia Bin Ding Hong Ke Hongfa |
| Copyright Year | 2009 |
| Description | Author affiliation: Unit 63880 of PLA, Luoyang, China (Xia Bin; Ding Hong; Ke Hongfa) |
| Abstract | Parameter estimation of small samples is a valuable research problem in various research domains. Traditional statistical parameter estimation approach needs to seek the distribution regularity of samples under some assumptions. But the assumptions usually bring new error to the parameter estimation value and make the reliability of the parameter estimation lower. Firstly, from the view of the topology of the sample space and the distances between samples, a new non-statistical parameter estimation approach and a grey parameter estimation approach based on grey theory and norm were proposed. Secondly, the correlative model and algorithms, including the definitions of the grey distance measure and grey relation entropy, were introduced. And the grey parameter estimation approach was compared with traditional statistical parameter estimation approach, too. Finally, the parameter estimation examples by the proposed approach were given. The simulations show that the approach is feasible and effective. |
| Starting Page | 311 |
| Ending Page | 315 |
| File Size | 123816 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424449149 |
| DOI | 10.1109/GSIS.2009.5408300 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-11-10 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Parameter estimation Electronic equipment Aggregates Gaussian distribution Entropy Topology Large-scale systems Intelligent systems Extremities Testing |
| Content Type | Text |
| Resource Type | Article |
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