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Evaluating Uncertainty of Nonlinear Microwave Calibration Models with Regression Residuals
Published
Author(s)
Dylan F. Williams, Benjamin F. Jamroz, Jake D. Rezac
Abstract
We use synthetic data to investigate the performance of a recently developed algorithm that uses regression residuals to evaluate the uncertainty of nonlinear multivariate microwave calibration models. We verify the results with measurements.
Citation
IEEE Transactions on Microwave Theory and Techniques