A rolling random-effects REML model estimates bias correction factors for TDCFs from calibration-line data, reducing deviations from SSCM references by up to 7% in KAGRA O4c data.
Viechtbauer, Statistics in Medicine26, 37 (2007), https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.2514
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Statistical Estimation and Correction of Model-Measurement Bias in Time-Dependent Correction Factors of KAGRA
A rolling random-effects REML model estimates bias correction factors for TDCFs from calibration-line data, reducing deviations from SSCM references by up to 7% in KAGRA O4c data.