Sentence examples for deviations of the sampling from inspiring English sources

Specifically, when a system is subjected to small deviations of the sampling points (operating points), it is of great interest to find the maximum tolerance of the system, which we refer to as the system's robustness.

The relationship of mean and standard deviation in the context of a t-test is not the same, for example, as in the context of the Central Limit Theorem, where the mean and standard deviation of populations have a predictable relationship to the means and standard deviations of the sampling distributions they can give rise to.

These deviations of the sample from the entire population should be considered when generalizing the results obtained from this analysis.

If we consider the Gaussian likelihood function, uncertainties of unknown parameters are evaluated by the standard deviations of the sampled points at τ i  ≤ 2 (sigma^{2}), where (sigma^{2}) is the variance of (log left( {rA_{text{max} } } right)).

We first generated descriptive statistics (proportions, means and standard deviations) of the sample characteristics and outcomes.

Samples exceeding the mean expression level plus three standard deviations of the samples of healthy tissues were considered positive.

In this method, the sum of the deviations of the sample means from the combined sample mean is normalized to the combined sample SD (see Table 1).

The effect sizes were measured by the difference between the means of the samples divided by the mean of the standard deviations of the samples [ 29].

To ensure the representativeness of the study results, deviations of the sample from the population structure regarding age, gender, region and country of citizenship oversampling procedures were used.

The LightCycler 480 Software (release 1.1.0.0520) with absolute quantification was used to calculate the concentrations and standard deviations of the samples.

The different models generally agreed on the estimated genetic correlations, but large posterior standard deviations of the sampled correlations makes it difficult to compare them across models.