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The effects of the sample rate changing on the network induced delay is the main topic.
The effects of the sample size and shape can be normalized by the scaling method.
To further analyze the effects of the sample support, noise power uncertainty, and shadowing parameters, we need to have a single and quantitative figure of merit.
In this study, using the same collection method, we eliminated the effects of the sample collection method.
For example, one can evaluate the effects of the sample geometry (i.e., thickness), backside penetration in the presence and absence of a backplate hole, and the hydration lubrication mechanism, which involves dehydration/rehydration processes.
The effects of the sample were slightly or much higher than the estimated MCID (3rd and 2nd columns from the right of Table 1) of the Pain NRS, in 9/10 SF-36 scales, 4/10 MPI scales, 1/2 HADS scales, and 1/10 CSQ scales.
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However, little has been written about the effects of the sampling on the quality of the model obtained.
However, the effects of the sampling strategies (frequency and duration of composite samples) on the attenuation estimates are largely unknown.
The effects of the sampling time, the 'sample window' size, and the number of samples on the error in kobs are studied.
To quantify the mechanical effects of variability on the characteristic strength and the effects of the samples dimensions, the random and spatial variation are firstly explored interpreting field and laboratory tests with the Random Field theory.
We first review general approaches that account for complex sampling designs, e.g. methods using probability weighting, and stress the need to explore the effects of the sampling design when applying logistic regression models.
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CEO of Professional Science Editing for Scientists @ prosciediting.com