Sentence examples for the data adjustment from inspiring English sources

Exact(2)

The data adjustment changes "the inconsequential bragging rights for certain years in the U.S.," he said.

For a large part of the data, adjustment for age, primary diagnosis and procedure amounts to an adjustment for severity of illness.

Similar(57)

In analyzing such surveys, it is important to be aware of the complexity of the sampling design and the data adjustments that are used by survey organizations, including weighting to adjust for differences between sample and population and imputation to fill in missing responses.

The data adjustments included data filtering, log2 transformation, gene centering and normalization.

The same pattern occurred for low forest and shrubland; however, in the case of the tall forest, the best data adjustment was a polynomial function (Fig. 5b).

In the second stage a practical benchmark exercise was defined in order to test the reliability of the nuclear data adjustment methodology.

Finally, after the experiments, it was possible to evaluate the experimental methodology used, the equations, the variables of data adjustment and thus enable the validation of the methodology used as a tool for DFM with high potential return on product quality, development time and reliability of the process with wide application in various CNC Machines.

The proposed approach contains two major strategies: the aligned-translation topic model and the semi-supervised training data adjustment.

As described in data adjustment, the first trial was excluded from the analysis.

The aligned-translation topic model provides a cross-language representation space in which the semi-supervised training data adjustment procedure attempts to select effective training samples to eliminate the negative influence of the semantic distribution differences between the original and target languages.

Separate chapters are devoted to techniques for multiple comparison correction, analysis in the presence of missing data, adjustment for covariates, assessment of mediator and moderator effects, study design and sample size considerations.

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