Paper
26 November 2001 Measures of performance for evaluation of estimators and filters
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Abstract
This paper deals with practical measures for performance evaluation of estimators and filters. Several new measures useful for evaluating various aspects of the performance of an estimator or filter are proposed and justified, including measurement error reduction factors, and success and failure rates. Pros and cons of some widely used measures are explained. In particular, the merits of a measure called average Euclidean error (AEE) over the widely used RMS error is presented and it is advocated that RMS error should be replaced by the AEE in many cases.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
X. Rong Li and Zhanlue Zhao "Measures of performance for evaluation of estimators and filters", Proc. SPIE 4473, Signal and Data Processing of Small Targets 2001, (26 November 2001); https://doi.org/10.1117/12.492751
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Cited by 43 scholarly publications.
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KEYWORDS
Error analysis

Failure analysis

Detection and tracking algorithms

Signal processing

Statistical analysis

Data analysis

Factor analysis

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