Sentence examples for constrained sample from inspiring English sources

This operation transforms the raw data from their constrained sample space, the simplex Sd(d = D - 1), into the real space Rd, in which parametric statistical methods can be applied to the transformed data.

Due to the constrained sample size while only studying females, Mann-Whitney U tests (exact) were used in assessing the relation between menstrual cycle-phase and CPM-scores.

We demonstrate that this approach produces reliable and limited predictions of network architecture under constrained sample sizes, with the potential to generate more efficient network models for complex systems.

While that is an interesting future direction, here we focus on finding a single strong sub-network with constrained sample size to demonstrate the potential for using classifier-based algorithms to learn network structure.

One way forward are culture-independent metagenomic approaches, but these novel methods are rarely rigorously tested, especially for studies of environmental viruses, air microbiomes, extreme environment microbiology and other areas with constrained sample amounts.

Overall, the qualitative conclusions based on this constrained sample analysis are the same as for the main analysis, but the results are somewhat weakened in terms of size and statistical significance once controlling for the number of days between visits and removing observations with long periods between them.

Results for assignment to genus using random versus constrained sampling of sub-libraries were very close in terms of overall accuracy, with constrained having slightly lower overall accuracy across all completeness levels.

Unlike many current methods, the proposed approach does not require feasible initial point and can handle hard constraints via a novel optimization-based constrained sampling scheme.

Yet, these results are difficult to generalise as the vast majority of such studies were reported on constrained samples, mainly university students [23, 33].

Constrained sampling optimization problems conform a class of problems where only a part of the solution space is available from any point at any time.

This paper deals with how to modify the general strategy of evolutionary algorithms to address these constraints in an efficient manner and proposes extending their application to other problems that, even though, they are not strictly constrained sampling problems, restricting their sampling capabilities reduces the cost of the optimization procedure without affecting its results.