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This preliminary work toward reducing the size of the parameter space in PEF estimation problems appears
to be promising. A flexible framework has been introduced that can incorporate the spatial distribution
of the data into the parameter optimization, and can easily be adapted to include weighting for data quality and other issues.
One current outstanding issue is how to up-weight fitting equations with a wide spatial distribution.
Also, tests on larger datasets need to be performed in order to judge the effectiveness of this method.
Next: REFERENCES
Up: Curry: Parameter optimization for
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Stanford Exploration Project
7/8/2003