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Figures 5, 6 show the estimated data points of formation factor vs. permeability and permeability vs. porosity, respectively, for tight media and equivalent networks plotted with experimental measurements obtained by Byrnes et al. (2009) of Mesaverde tight gas sandstones.
Once the normalization curve was estimated, data points out of the range were also normalized.
The estimated data points were produced by computing curves describing the age differences in the longitudinal design, i.e. estimates for the specific ages were taken from the Excel spreadsheet used for the longitudinal age curves.
The estimated data points for n→∞ obtained from the function along with the actual data points from the comparison of the eight P. ananatis CDS sets were plotted in graphs of the number of genomes versus the number of core/strain-specific CDSs.
Finally, the quality of predictability was analyzed by extrapolating mRNA data at the next k observed time points using the parameter set with the smallest prediction error of each method; we measured the mean squared distance between the estimated data points and 100 samples that are generated for each of the k observed data points where we set k to be 1, 3 and 5.
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There is a slight difference in the estimated data of individual sampling points.
To evaluate the goodness of fit, the percent Root Mean Square Error (RMSE) between observed and estimated data was applied for 184 points.
This means that there were more parameters to be estimated than data points, even when all SNPs entered the model linearly.
Substitution of molecular weighted-concentrations also failed to significantly change the point estimates (data not shown).
In contrast, aggregations of ICD-9 codes into CCS universal, CCS level 3, CCS level 4, or 3- or 4-digit ICD-9 groupings did not improve the adjusted point estimates (data not shown).
This resolution is a compromise between the accuracy of a demand location (size of a district) and the accuracy of the estimated demand quantity (data points per district).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com