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Such a transfer function may yield very poor predictions of data points that are between (amidst) your data, or even slightly outside the range of your data. A good transfer function is usually considered to be one that predicts unknown data well.
In this document, I use the words "transfer function" and "model" interchangeably. Here when I refer to a "model" I am not referring to the CAE model but to the transfer function of the entire design space.
Factors to consider
There are several (competing) factors to consider when choosing which transfer function is the best (i.e., best predictive of unknown points):
Accuracy of fitting to given points
In Encore, this is measured by R**2 (often written as R-Squared or R) and GCV (the Generalized Cross Validation metric)...
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Common topics in this essay:
- Asset Validation
- Transfer Prices
- Transfer Pricing
- Transfer oftraining
- Renaissance Validation
- Cross Function Task Force
- Embryo Transfer
- Technology Transfer
- The Transfer Student
- transfer essay
- Embryo Transfer
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- VALIDATION AND VERIFICATION OF DESIGN THROUGH
- Valid Transfer Function Generation
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