Visual inspection of error structure indicated a good fit to the model.
Owing to the nature of spreadsheets, we could not definitely account for row or column shifts in blocks of data as a source of error, although, on visual inspection of the errors, this did not seem to be the case.
We conducted a further inspection of the errors to get a better understanding of the different error types.
For economic inspection of geometric errors on freeform surfaces, only a finite sample of points could be measured across the surface.
A closer inspection of the errors in the CR process reveals three particular types: Coordination e.g.g
In fact, six of the erroneous calls involved one homozygote being called as the other homozygote; closer inspection of these errors revealed that these likely resulted from incorrect Illumina genotype calls rather than incorrect sequencing calls.
Further, the goodness-to-fit can be evaluated by analysis of variance and inspection of residual error of fitting.
Manual inspection of potentially error-prone terms resulted in organism-dependant lists of ambiguous gene and protein names which are not only required for accurate mapping of identifiers but also for bioinformatics applications like text mining.
In extreme cases this can lead to "colinearity," with multiple variables trying to describe the same quantity, but no convincing evidence of this was shown by inspection of the standard errors.
All models were also checked for collinearity via inspection of the standard errors of the regression coefficients to see if they were inflated which would signify multicollinearity was a problem in that model.
