Sentence examples for approach for normalizing from inspiring English sources

The phrase "approach for normalizing" is correct and usable in written English.
It can be used when discussing methods or strategies aimed at achieving normalization in a specific context, such as data processing or statistical analysis.
Example: "We need to develop a clear approach for normalizing the dataset to ensure accurate results."
Alternatives: "method for normalization" or "strategy for normalizing".

Exact(2)

In our analysis, we have used the smoothing approach for normalizing the data.

Findings may provide empirical evidence on: (1) the effectiveness of a modern neuroscience approach to CSP for reducing pain and improving functioning, (2) the effectiveness of a modern neuroscience approach for normalizing brain gray matter in CSP patients, and (3) factors associated with therapy success.

Similar(58)

Previous approaches for normalizing length include defining an effective length of a gene that may have two or more transcript isoforms of different lengths, and normalizing by the length [ 7- 11].

A secondary objective entails examining the effectiveness of the modern neuroscience approach versus usual care physiotherapy for normalizing brain gray matter in patients with CSP.

For normalizing the weights we follow the approach outlined in [12].

He also praised himself for "normalizing" the idea of entitlement reform.

America broke Iraq; now America owns Iraq, and it owns the primary responsibility for normalizing it.

The second part of this model is designed for normalizing the inputs for the next part.

I think the way to think about the framework agreement is an approach to normalizing the relationship between the United States and Iraq".

These alternative approaches are rarely suitable for adjusting (normalizing) for analyte losses during sample preparation and detection, because of potentially very different chemical and physical behaviors of the target and its structurally distinct surrogate, however.

This approach normalizes for trial number thus preventing the results from being skewed by the number of total errors, which was different across subjects.

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