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Genetic model was selected using the Akaike Information Criterion (AIC) value with the lowest AIC value considered corresponding to the best-fitting model for the fitted variant.
Stata commands GLST for model fitting and LINCOME for estimating effect were used for the fitted model.
Supplementary Table 3 provides detailed statistics for the fitted models.
The shaded areas show a 95% confidence interval for the fitted models.
We have used the 'Delta method' to calculate confidence intervals for the fitted models41.
Priors and posteriors for the fitted model are shown in Supplementary Figs S3 S4, and model diagnostics are plotted in Supplementary Figs S5 S8.
Finally, the R2 statistic for the fitted non-linear regression model explains 89.1% of the variability in loss of mass.
The solutions are presented for the fitted type of bearings, un-recessed and recessed hemispherical and partial hemispherical seats, with capillary tube and orifice restrictors.
Correlations were then developed for the fitted mass transfer model parameters as a function of wettability and grain size distribution characteristics.
Prior to analysis, all measurements were log transformed, allowing scaling relationships to be examined using linear regression where the scaling relationship is the coefficient of the equation for the fitted line (i.e., the slope).
ANOVAs for the fitted models are summarised in Table 3.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com