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Relatively high nonlinearities together with thick samples can be considered using a decomposition in Adomian polynomials.
Therefore the rock samples can be considered as representative for the stratigraphic unit.
These samples can be considered as promising materials for magnetic recording media and electromagnetic absorbing technologies applications.
The levels calculated for V P in these two samples can be considered to be, within the experimental error, the same.
It is found that while a t-test can be used to determine whether the means of two samples can be considered to come from the same population, paired data sets are more powerful to determine difference.
Quantitative treatment of these data, combined with data from analysis of other samples, demonstrating the limits within which differences between discrete samples can be considered significant are discussed further below.
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More concretely, for each sample can be considered an area around it where it is the representative of.
Certain relevant estimates in survey sampling can be considered as penalized calibration estimates obtained as particular cases from an optimization problem with a common basic structure.
Thompson sampling can be considered as a form of optimal adaptive control under bounded rationality where limited information processing capabilities are modeled by entropic search costs.
This crystalline phase is rather an impurity than a product of the reaction and most of the sample can be considered as nanocrystalline or amorphous.
Thompson sampling can be considered as an application of Bayes' rule for acting where actions are treated as causally intervened random variables within the framework of statistical causality.
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