Application of Robust Statistical Methods to Data Reduction.
NATIONAL RANGE OPERATIONS DIRECTORATE WHITE SANDS MISSILE RANGE N MEX ANALYSIS AND COMPUTATION DIV
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Robust Statistics provides a fresh approach to the difficult problem of editing in data reduction. Of prime concern are grossly erroneous measurements which, when undetected, completely destroy automated data reduction procedures causing costly reruns and time delays with human detection of the erroneous measurements. The application of robust statistical methods has been highly successful in dealing with this problem. An introduction to the robust M-estimates and their numerical computation is given. The application of M-estimates to data preprocessing, instrument calibration, N-station cinetheodolites, N-station radar solution, and filtering are described in detail. Numerical examples of these applications using real measurements are given. Author
- Statistics and Probability