Sentence examples for analysis to reduce the number of from inspiring English sources

The phrase "analysis to reduce the number of" is correct and usable in written English.
It can be used in contexts where you are discussing methods or strategies aimed at decreasing a quantity or frequency of something through analysis.
Example: "The research team conducted an analysis to reduce the number of errors in the software before its release."
Alternatives: "evaluation to decrease the number of" or "assessment to minimize the number of".

Exact(19)

From universal background checks to mental health to the style of weapons sold, the government must take action based on data-driven analysis to reduce the number of Americans hurt and killed by guns each year.

This protocol is based on a preliminary global sensitivity analysis to reduce the number of model parameters to be calibrated to the most influential ones.

This study investigates the feasibility of a partial solution to the problem of multiple comparisons: the use of factor analysis to reduce the number of phenotypic variables and to better understand the underlying cognitive architecture in schizophrenia.

In order to fast and accurate retrievals for CO2, we have developed a technique based on information content analysis to reduce the number of channels used in CO2 retrieval.

Principal components analysis to reduce the number of molecular descriptors.

The 400 m2 cell data was summarized using principle component analysis to reduce the number of variables.

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Similar(41)

First, we used a principal component analysis (PCA) to reduce the number of variables (odour compounds) in the analysis.

We used a Principal Component Analysis (PCA) to reduce the number of variables and eliminate co-linearity among them.

Dimensional analysis is performed to reduce the number of variables and to bring forth dimensionless groups.

Principal component analysis was used to reduce the number of covariates because the sample is small.

Factor analysis was used to reduce the number of anthropometric variables into underlying latent factors [ 35].

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