PARAMETER SELECTION IN INDIRECT MEASUREMENTS |
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| A. G. Polak, J. Mroczka |
- Abstract:
- An alternative method of dealing with ill-conditioned problems in model identification is introduced. It consists in estimation of parameters selected on the ground of the sensitivity analysis and fixing remaining ones as constants. Statistical analysis of the resulting estimator in terms of estimate bias and variance is presented together with a realistic simulation example of the maximum expiration model. Results of simulation show that selection of parameters improves numerical conditioning of model identification and decreases variance of estimates.
- Keywords:
- indirect measurement, ill-conditioned problem, parameter selection
- Download:
- IMEKO-WC-2000-TC7-P203.pdf
- DOI:
- -
- Event details
- Event name:
- XVI IMEKO World Congress
- Title:
Measurement - Supports Science - Improves Technology - Protects Environment ... and Provides Employment - Now and in the Future
- Place:
- Vienna, AUSTRIA
- Time:
- 25 September 2000 - 28 September 2000