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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Li, X.R. Zhao, Z. |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Electr. Eng., New Orleans Univ., LA (Li, X.R.; Zhao, Z.) |
| Abstract | Most estimators and filters provide assessments of their own estimation error, often in the form of mean-square error. Are these self- assessments trustable? What is the degree to which they are trustable? This is Part I of a two-part series that provides answers to some of these questions, referred to as the credibility of the estimators. It formulates the concept of credibility, proposes tests for MSE-credibility, and discusses their superiority to the existing test. Numerical examples are provided to illustrate the utility and effectiveness of the proposed tests and the drawbacks of the existing test |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 11030574 |
| Page Count | 8 |
| File Format | |
| ISBN | 1424409535 |
| DOI | 10.1109/ICIF.2006.301742 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-07-10 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | ISIF |
| Subject Keyword | Automatic testing Estimation error Computer simulation State estimation Solids Estimation theory Stochastic processes NASA Contracts statistical test Performance evaluation estimation credibility |
| Content Type | Text |
| Resource Type | Article |
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