Sentence examples for measurement error analysis from inspiring English sources

In this paper, 3-D shape measurement error analysis is performed based on a short baseline Pro-Cam system.

A relative measurement error analysis is also conducted with respect to other parameters K 1, K 2, K 3 while the baseline is assumed fixed.

(A) With respect to the minimum value of parameters K 2 K 3. (B) With respect to the maximum value of parameters K 2 K 3. A measurement error analysis with respect to the variation of baseline has been performed using partial derivative analysis, relative measurement error analysis, and sensitivity analysis.

After deriving a new phase-to-height mapping relationship, measurement error which mainly refers to the height error is analyzed with respect to the length of baseline through partial derivative analysis, relative measurement error analysis, and sensitivity analysis.

In summary, the results from four Bayesian models are compared: a simple model under the naive analysis (N-S), an adjusted model by confounders under a naive analysis (N-A), a simple model under a measurement error analysis (ME-S), and an adjusted model by confounders under a measurement error analysis (ME-A).

For the measurement error analysis described here, we used 1-hr maximum CO data as our base case, representing in our analysis a true time-series and the measured risk ratio the true association.

The most substantial alteration takes place in the estimated effect of white cheese, where the measurement error corrected analysis shows a non-significant protective effect.

In the global test, incorporating measurement error into analysis has little effect on the evidence for a change in moisture regime at the base of clade 2, which is supported at BIC weight = 0.897 to 0.905 either with or without measurement error (Table 3).

To this end, using dust endotoxin and wheeze outcome measurements from a large longitudinal study and airborne endotoxin measurements from a validation substudy, we performed a measurement error correction analysis according to the regression calibration method described by Rosner et al. (1989).

While subjective well-being measures are not accurately measured, if one accounts for measurement error in this analysis, it was found to only increase the amount of explained variation of additive genetic effects to range from 12 to 18%.

First, since estimating problem data often introduces measurement errors, sensitivity analysis helps in identifying sensitive parameters that should be obtained with relatively high accuracy.