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Following Baltagi et al. [24], equation two decomposes the error process into a summation of two components; time variant and remainder error process.
Baltagi et al. [24] argued that in spatial econometrics, where the error term is considered not serially correlated with the remainder error and there is no spatial serial dependence of the error terms, the random effect estimation is more appropriate.
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Most of that uncertainty comes from errors in the velocity at which Philae was shoved off of Rosetta; the remainder comes from errors in the known position of Rosetta's orbit.
Of the 36 subjects, 19 were emmetropic while the remainder had refractive errors ranging from +1.50 DS to -7.00 DS with astigmatism of up to +5.00 DC and all were presbyopic to varying extents.
The remainder of the NER errors, 19.6% of the total errors, resulted from tagging partially correct spans.
Only one of the match points was surrendered with an unforced error – the remainder were snatched from Nalbandian with the kind of rip-roaring, defiant winners that have become the Spaniard's trademark.
The interaction describing the replicates could be split similarly, with the remainder added to the error term of the analysis.
Using a conventional sums of squares decomposition, the variability in weekly predictions at the grid points shown in Figure S3 was 12% spatial and 87% temporal, with the remainder attributable to rounding error.
The remainder occurred due to equipment error in obtaining values for VO2 and VCO2.
Additional errors would add to the remainder of the SFS, but assuming that errors are independent, the impact would be seen mainly on singletons.
However, all errors (n = 5) occurred in the first quartile of the study suggesting a steep learning curve, with no errors in the remainder of the study.
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