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An investigation of the Freundlich, Langmuir and Dubinin Radushkevich equations reveals that calculations of mixed-gas equilibria are very sensitive to deviations of these equations from the single-gas adsorption data.
The prostate is very sensitive to deviations from homeostatic androgen-to-estrogen ratios.
As factor analysis is not very sensitive to deviations from the normal distribution [ 8], minor deviations were accepted.
Furthermore, the construction of tolerance intervals is very sensitive to deviations from the assumed distribution especially for high-coverage, high-certainty intervals like those typically constructed [ 37].
In large studies, tests for normality are very sensitive to deviations from normality and thereby unsuitable as tools to choose the most appropriate test.
Since our nonparametric null model is obtained directly from the source data, it is very sensitive to deviations from radial symmetry.
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Because of the above undesired effects the stereo matching process is significantly affected, as many correspondence algorithms are very sensitive to these deviations in the brightness pattern, resulting in an inaccurate terrain reconstruction.
Nevertheless we have chosen to use the parametric ANOVA test because it is not very sensitive to moderate deviations from normality [18], [19].
Furthermore, ANCOVA is not very sensitive to small deviations from a normal distribution [ 26].
The prediction result obtained with large values of γ can be very sensitive to small deviations in ν.
Our data were not normally distributed, but we checked that they were close to a normal distribution on the frequency histogram, as ANOVA is not very sensitive to moderate deviations from normality [ 23– 25].
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