Sentence examples for approaches the statistical from inspiring English sources

The phrase "approaches the statistical" is correct and usable in written English.
It can be used when discussing methods or analyses that are nearing or aligning with statistical principles or results.
Example: "The new model approaches the statistical norms established in previous studies, indicating a more reliable outcome."
Alternatives: "nears the statistical" or "aligns with the statistical".

Exact(3)

In certain rapidly growing tumors, the cancer-specific survival rate [ 22] reaches a plateau within 5 10 years and approaches the statistical cure rate, which is the survival rate observed when no more risk of death from the disease.

The standard approaches to word alignment are of two main strands[ 3] 1. statistical (or estimation) approaches 2. linguistic approaches The statistical approaches use probabilistic translation models estimated from parallel corpora.

To analyze the results of the parameter setting approaches, the statistical procedure proposed by García et al. [48] is followed, according to which Friedman's non-parametric test is used to reveal any significant performance differences from at least one of the approaches.

Similar(57)

This result approached the statistical significance for the 0.5 cpd spatial frequency.

We found an inverse correlation between levels of Skp2 and p27Kip1, which approached the statistical significance.

Only a single trait, total cholesterol, reached statistical significance in the polygenic analysis, although T2D approached the statistical significance threshold of p < 0.05.

Bok has previously been shown to be EE responsive in uteri, whereas Pdcd6 approached the statistical cut-off in a previous study [ 15].

In ALT comparative approach, the statistical comparison between failure time data of the original and modified versions is used to verify the required improvement in lifetime.

This may be due to that fact that, under the OAT approach, the statistical features do not represent the whole EEG signals for the SVM classifier.

By this approach, the statistical errors are reduced which enables a very precise measurement of systematic errors between both setups.

In the second approach, the statistical significance (E-value or p-value) of a PSM is computed for determining the correctness of the PSM.

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