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With increasing sample conductivity, the PD(A/H) will increase.
The fatigue strength apparently increases with increasing sample temperature.
The error decreases with increasing sample thickness and increases with increasing sample permittivity, gap width, radius of the electrode corner.
Unlike some other biases, this bias will not go away with increasing sample size.
The non-proportionality aimed at increasing sample size in smaller strata.
Sensitivity of the method could be improved by increasing sample volume.
Neutron shielding results showed attenuation of thermal neutrons with increasing sample thickness.
Future studies should focus on increasing sample size and refining the intervention.
Generally, entire models exhibited lower MPE by declining skewness and increasing sample size.
The absolute bias of the ratio estimators decreased with increasing sample size as expected.
Therefore, with increasing sample sizes, our chances of finding dR > 0 are increasing too.
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