Residual-offset uncertainty in nail thickness estimates
ID: residual-offset-uncertainty-in-nail-thickness-estimates
Residual-offset uncertainty in nail thickness estimates is the uncertainty contributed by an imperfectly known additive background after correction of spectral signals. It differs from a known uncorrected offset's bias: subtraction can remove the best estimate of a background while leaving uncertainty about that estimate.
For an original reduced optical model, let two measured normalized signals be and subtract the same background estimate . Define and suppose the attenuation contrast is known. The inferred nail plate thickness isIts sensitivity coefficients areWith mutually independent raw signal estimates and background estimate, first-order uncertainty propagation givesThis follows the sensitivity-and-covariance approach in the measurement guide.[ref]
Guide to the expression of uncertainty in measurement by JCGM. §§5.1–5.2, propagation of input uncertainties and correlated quantities
For stipulated , , , and , the estimated thickness is approximately 0.5108 mm and its combined standard uncertainty is 0.0177 mm. The common-background contribution alone is 0.0133 mm. Averaging 100 independent repetitions of each raw signal while reusing the same background estimate reduces the total only to about 0.0134 mm; it does not reduce that shared contribution by ten.
An equivalent calculation treats corrected signals as correlated: under the stated independence assumptions. Omitting this covariance would describe a different experiment with independent background errors. Near zero corrected signal, the logarithm also becomes strongly nonlinear, so this local approximation needs further checking.
The primary nail experiment included a fluorescence correction in its optical transmission measurement.[ref]
The transmission of optical radiation through human nails by S. G. Parker and B. L. Diffey. Abstract, fluorescence correction
Background emission and dark current must be characterized separately when they have different spectral responses. The equations above are an illustrative uncertainty budget, not a validated thickness calibration or reported precision from that experiment. New to topics? Read the docs here!