NIST · ИТ · 13013be327a2f700da13
Evaluating Uncertainty of Nonlinear Microwave Calibration Models with Regression Residuals
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.
NIST · ИТОфициальный источник · 2020-09-09
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"title_en": "Evaluating Uncertainty of Nonlinear Microwave Calibration Models with Regression Residuals",
"designation": "",
"series": "",
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"date": "2020-09-09",
"date_original": "September 9, 2020",
"url": "https://www.nist.gov/publications/evaluating-uncertainty-nonlinear-microwave-calibration-models-regression-residuals",
"source": "NIST Publications",
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"authors_en": "Dylan F. Williams , Benjamin F. Jamroz , Jake D. Rezac",
"abstract_excerpt_en": "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.",
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{
"title_en": "Evaluating Uncertainty of Nonlinear Microwave Calibration Models with Regression Residuals",
"designation": "",
"series": "",
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"date": "2020-09-09",
"date_original": "September 9, 2020",
"url": "https://www.nist.gov/publications/evaluating-uncertainty-nonlinear-microwave-calibration-models-regression-residuals",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Dylan F. Williams , Benjamin F. Jamroz , Jake D. Rezac",
"abstract_excerpt_en": "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."
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