Subsequently, we describe the consecutive sampling analysis and evaluation of the linear characteristic function, approximating the standard deviation of the data variability across the arrays.
This corroborates the proposition that the standard deviation of the random variability consists of two components: a constant term and a directly proportional term, as suggested (e.g. Novak et al. [ 23]).
Assume, as a working hypothesis, that we can estimate the standard deviation of the gene expression variability of series replicate arrays from two-array comparisons.
As we are interested in the precision of the estimates for the means, we choose to show SEM (standard error of measurement, standard deviation/n½, where n = number of samples) instead of the standard deviation, which characterizes the variability of the data.
First, we designed and conducted a large-scale eye-tracking experiment to clarify the knowledge on the relationship between the deviation of saliency and the variability of image quality.
The reason is straightforward: large standard deviation of shadowing means the variability of shadowing is great, and it will result in great variability of the received signal or interference.
The daily average of the direction was then the mean value averaged over the sampling period; the standard deviation was a measure of the variability in wind direction measurement.
This deviation of the measurement and inherent variability values will not affect the value of the deduced transformation error because both inherent variability and measurement error are summed as shown in Eq. (16).
These features were: the mean GLI value, the position of the center of gravity on the profile curve (cortical depth), the standard deviation of the mean GLI (indicating the variability of the GLI throughout all layers), skewness and kurtosis of the profile curve and the respective features from the profile's first derivative (Schleicher et al. 1999).
