Sensitivity analyses are conducted to investigate the influence of (i) the number of measurement data assimilated and (ii) the error assigned to the measurement data.
Sensitivity analyses demonstrate that the estimation of the λ values is dependent on the number of concentration measurements assimilated, the locations from which the measurement data are collected, the error assigned to the measurement values, and the correlation length of the λ fields.
The reasons underlying the errors were identified and errors were assigned to one or more categories (the breakdown of which is shown in Table 6):Word variations: Lexical variants of the same disease.
This negligible error was assigned to interpolation error rather than alignment error.
The error was assigned to different points of the experimental design.
In order to reduce the level of gear running noise, a pre-designed fourth order polynomial function of transmission error is assigned to the gear drive.
The intrinsic integration error was assigned to be one-half the volume of the cross-peak of lowest intensity.
The use of least squares regression to characterise the level of proportional bias, as reflected in the slope of the linear relation, is skewed because all error is assigned to the dependent variable, in this case the portable analyzer.
A random draw from this distribution gives the number of errors made, each error is randomly assigned to one of the other 3 bases at that genome position whose population increases by one, whilst that of the transcribed base decreases by one.
