The phrase "assessment of the error" is correct and usable in written English.
It can be used when discussing the evaluation or analysis of a mistake or discrepancy in a particular context, such as in reports or academic papers.
Example: "The assessment of the error revealed several underlying issues that needed to be addressed in the project."
Alternatives: "evaluation of the mistake" or "analysis of the error".
A dynamic (theoretical) model of the structure is established and a statistical assessment of the error variability presented.
The accuracy of the model using the proposed irradiation adjustment method in outdoor conditions is investigated through the assessment of the error obtained between the adjusted model results and the manufacturerʼs specifications at STC conditions; in this case the relative error (RE) was found below 2% for all the parameters (Table 2).
37 LOOCV has been considered as a standard procedure for an almost unbiased assessment of the error rate of classification models.
Within this controlled environment, the actual parameters of the heart model are known, allowing for an assessment of the error between actual and estimated parameters.
A numerical analysis of the well-posedness of the problem and an assessment of the error of the resulting parameter estimates were performed at the solution p* of the problem (1 - 2).
However, these studies do not provide effect estimates which would allow assessment of the error marginal of their "null" findings or meta-analysis, and in our opinion these results on duration should not be considered conclusive.
Such a public hearing would be meant only to offer a truthful assessment of the errors in judgment made at each firm and to promote understanding, so that we — somehow — can avoid repeating the same mistakes again.
Future research must therefore be directed to realistic assessment of the errors inflicted by the assumptions and simplifications of the soil redistribution model.
However, an assessment of the errors associated with accuracy and bias, the systematic component in the total error model, was confounded by the fact that commercially available QC standards were used.
Half the researcher's best assessment of the measurement error variance makes the measurement error variance about as low as it might reasonably be (it is half way to the unreasonable value of zero), and double makes this about as high as it might reasonably be.
In addition, such a linearization inevitably introduces integration errors, making the assessment of the prediction error for each parameter combination difficult.
