Sentence examples for probabilistic samples from inspiring English sources

The use of population lists for sampling is a gold standard for obtaining representative probabilistic samples (Reichel & Morales, 2017).

The use of population lists for sampling is considered a gold standard for obtaining representative probabilistic samples of a given target population.

A requirement of the study was that all country partners aimed at probabilistic samples and should develop the best possible sampling strategy that is feasible in their country.

The use of population registers for sampling is a gold standard for obtaining representative probabilistic samples (Reichel & Morales, 2017), however they do not always contain the necessary categories to identify immigrant population, or their coverage of this target population is imperfect, which also hinders the representativeness and unbiased nature of samples obtained from these registers.

The samples generated separately for each population are not necessarily probabilistic samples on the intersection of the populations, i.e. on closed canopy community forests and bias may ensue.

Furthermore, empirical research indicates that low response rates are not necessarily indicative of nonresponse bias, particularly when probabilistic samples are drawn from rigorously constructed frames [39].

This paper is concerned with the problem of H∞ filtering for continuous-time systems under sampled measurements with probabilistic sampling.

A glossary of probabilistic sampling terms and two research-sampling paradoxes are presented.

Notice that our algorithm provides a generic framework that can employ any probabilistic sampling algorithms in each of its two sampling steps.

However, it is only in a correctly designed sampling plan that probabilistic sampling achieves true representation.

In contrast, probabilistic sampling methods are techniques in which all constituents of the material have some probability of being included.