Sentence examples for adjustment for errors from inspiring English sources

"I have learned that large-scale, 'instant' projects leave little room for adjustment for errors or experience," he wrote in his Who's Who entry, adding, "What architecture and planning need, in the future, are a more deliberate pace and a more human scale".

Except as otherwise specifically provided in this subsection and notwithstanding any provision of law referred to in subsection (a) or (c), no agency referred to in subsection (a) or (c) may require a creditor to make dollar adjustments for errors in any requirements under this subchapter, except with regard to the requirements of section 1666d of this title.

3) Because the investment is so massive, the construction period is long, and the losses engendered by adjustments for errors are significant and unacceptable.

The score is based on the time taken to complete each task, with an adjustment for any errors.

The lack of a true reference measure, for comparison purposes, will not allow adjustment for the errors in exposure assessments [ 34- 36].

19– 21 Epidemiologic studies that rely on these self-reports of cancer in family members without adjustment for classification errors can provide inaccurate results and underestimates of the true uncertainty.

The regression coefficients have the same interpretations as in standard regression analyses, but this model include adjustment for measurement errors, as it is the underlying latent variable, and not the observed exposure which are assumed to affect the outcome.

Adjustment for random error requires specification of a random error distribution for the data-generating process.

The HRs increased after correction for measurement error, although the impact of the adjustment for measurement error varied between the two pollutants where adjustment was possible.

After adjustment for comparative error, the approval rating has gained by at least one point.

"Nonparametric Adjustment for Measurement Error in Time to Event Data: Application to Risk Prediction Models". Journal of the American Statistical Association, just-accepted.