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The distribution of calibration factor values is shown in Figure 2.
These are proper instrument settings, a suitable choice (distribution) of calibration temperatures in due consideration of uncertainties, self heating and the number of parameters in the calibration equation.
With respect to divergence dating, studies that examine ways to narrow credibility intervals find that the most important factors affecting divergence time estimation using molecular data are the number and distribution of calibration points on the tree [ 56- 59].
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Earlier simulations and empirical studies have indicated that our understanding of the statistical properties of the diversification prior combined with prior distribution of calibrations is incomplete, particularly when the tree topology is considered [ 78, 102, 103].
Fluorescence distributions of calibration samples (no cells) provided a measure of total technical variation of the encapsulation, picoinjection, and enzymatic assay steps (Additional file 1: Fig. S2a c).
The distribution of the calibration factor CFdA is shown in Figure 3.
The values obtained in the lateral scan comparing the maximum collected signal on each side are not symmetric with respect to the half depth of the detector (i.e. the values shown in Fig. 8-right are confined in the asymmetric range [−0.8, 0.6]), conversely to the distribution of the calibration values used for the method of the cluster size asymmetry that is ranging in approximately [−0.4, 0.4].
Thus the expectation is taken over the distribution of the calibration and the validation data.
The right hand side shows the distribution of item calibrations, items reflecting higher SSE attitude are placed in higher position and items reflecting a lower SSEA level are placed in lower positions.
All analyses assumed an exponential prior distribution for calibration points.
Hence, groundwater models need spatio-temporal distribution of input and calibration of data (Brunner et al. 2007a, b).
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