Sentence examples for restricted variability from inspiring English sources

Exact(12)

However, due to the low dimensionality of the 'effective' model parameter space spanned by the parameters γ ̲, the direct feature extraction may become highly unstable, except where the parameter set { a k } is sparse or the parameters γ ̲ k, η ̲ k representing the sub-models show highly restricted variability.

This is because restricted variability results in the underestimation of the strength of linear relationships or the inability to detect curvilinear relationships [ 15, 16].

However, higher genetic differentiation and diversity were observed within the populations of M. oleifera and this indicates a relatively restricted variability as expected.

Such restricted variability may have prevented the identification of certain risk factors that may be seen in studies with a wider variety of patient backgrounds.

Several items showed restricted variability in responses (number of PE classes per week; days per week of recess at school; bicycle, taxi, school bus trips to/from school).

However, the correlation between self-report and behavior was highest at 6 months which Jaccard et al. attributed to restricted variability in responses for shorter recall periods.

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Similar(48)

Norms and other social forces restrict variability in phenotype of genetically diverse people.

Consequently, restricting variability within pairs used in comparative studies reduces the required sample size, which is most welcomed amongst researchers working with limited resources such as cadaver bones.

We also found restricted genetic variability within populations and gene flow was estimated to be low between populations.

While representativeness was ensured in relation to the pool of the city's public schools, the exclusive focus on public school students in their fifth year may have restricted the variability of the data, affecting the results of the correlations.

Using a sampling frame of underserved communities may have restricted the variability in the sample and the statistical power to detect associations.

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