Sentence examples for statistical quantification from inspiring English sources

Exact(32)

Hence, the statistic

The subject of any team's fortitude is usually a dicey one, with no statistical quantification to make an allegation of heartlessness stand.

As described, the application of the pure SDM only allows for the statistical quantification of uncertainties.

These different chapters highlight a need for standardization regarding the metrics used for data presentation, parameters definition and statistical quantification.

To overcome the limitations of insufficient statistical quantification of uncertain parameters, this paper treats uncertainties as non-probabilistic intervals.

The uniform-gradient magnetic field applies nearly uniform forces to a large cell population, permitting statistical quantification of select molecular responses to mechanical stresses.

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Similar(28)

By using image filtration, we were able to adopt first order statistical texture quantification.

They encompass most of the steps involved in a proteomics data analysis workflow in a single, integrated software system, including mass spectrometer output file conversion, protein identification statistical validation, quantification by stable isotope ratios, and support for SRM.

Although the number of samples used in these double-immunofluorescence experiments is too small for an accurate statistical analysis, quantification of the staining confirmed the lack of marked differences in the expression of these markers between SpA and RA synovial sublining macrophages.

While it failed to reach statistical significance, quantification of the intensity of staining in the dermis (excluding hair follicles) revealed a trend for an increase in the amount of MMP-1 in wild-type UV-irradiated mice, which was not observed in GzmB-KO UV-irradiated mice (Fig. 4D).

Both the methodology and the underlying mathematical framework presented in this paper contribute new capabilities and perspectives at the interface of uncertainty quantification, statistical data analysis, stochastic modeling and associated statistical inverse problems.

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