Sentence examples for sample assumption is from inspiring English sources

The notion of a random sample implies independence of the intensity values, or at least that the dependence structure is sufficiently weak so that the random sample assumption is plausible.

Robust 95% confidence intervals (CIs) that do not depend on large-sample assumptions were then estimated using bias-corrected (accelerated) bounds from another round of 999 bootstrap re-samples [ 20].

However, it is a well known fact that biases in sampling are common and sampling assumptions are not always met with [ 3].

When stratification, cluster sampling or probability weights are introduced into sampling this assumption is violated and the bootstrap as described above will give incorrect inferences.

In other words, the received signal is stationary with the observation time T (i.e., N s samples); this assumption is commonly used in the literature [29 32].

While the concentrations of these carbohydrates were not determined from oil samples, the assumption is that these carbohydrates are present in limited amounts and are probably from remnant biomass.

However, with our reduced sample size, this assumption is not supported: half of the cases of compensation are associated to SE or RSE while the other half corresponds to cases of ME.

Finally, homogeneity of regression slopes was assessed; for some analyses for the ITT sample this assumption was violated.

Currently the most common estimation methods assume observations are sampled using a probabilistic sampling scheme, however this assumption is often not met.

This supposes a relatively uniform distribution of abundances across the entire sample, but if this assumption is false, the results might be even more interesting.

The calculation of CIQs has traditionally been based on the large-sample assumption that the quantile estimators are normally distributed, but with small samples commonly available, this assumption is shown to be quite crude.