Sentences with phrase «calibration curve uncertainty»

I've assumed an error standard deviation of 30 14C years, to include calibration curve uncertainty as well as that in the 14C determination.

However, I'm not convinced that his treatment of calibration curve uncertainty is noninformative even in the absence of it varying with calendar age.

I think in this respect the Keenan paper must make some fault as the calibration curve uncertainty must be of the same order in size there as the measurement error.

Not exact matches

So in both cases, one can construct a confidence / credible interval for the carbon - 14 age by well - known methods (that exhibit perfect probability matching), and then simply transform the endpoints of this interval to calendar years using the calibration curve (which I'll assume is known exactly, since uncertainty in it doesn't seem to really affect the argument).

If the calibration curve were monotonic and had an unvarying error magnitude, the calibration curve error could be absorbed into a slightly increased 14C determination error, as both these uncertainty distributions are assumed Gaussian.

The statistical relationship then becomes, given independence of calibration curve and radiocarbon determination uncertainty:

Initially I was concerned that the non-monotonicity problem was exacerbated by the existence of calibration curve error, which results in uncertainty in the derivative of 14C age with respect to calendar age and hence in Jeffreys» prior.

The radiocarbon determination will be more than two standard deviations (of the combined radiocarbon and calibration uncertainty level) below the exact calibration curve value for the true calendar date in 2.3 % of samples.

An error - free laboratory measurement of modern fraction does not imply that the problem collapses into a deterministic look - up from the calibration curve — even if the curve is monotonic over the relevant calendar interval — because the curve itself carries uncertainty in the form of the variance related to the conditional probability of RC age for a given calendar date.

Notice that near the end a large majority of the age determinations the calibration curve is based on fall outside the indicated uncertainty envelope of the curve.

The curved blue lines in Figure 9 - 1 present the calibration error, or the uncertainty in predictions based on the calibration (technically the 95 percent prediction interval, which has probability 0.95 of covering the unknown temperature), which is a standard component of a regression analysis.