Although small sample sizes within-sites mean that the value of ΦST may be imprecise, three sampling sites stood out as particularly distinct when looking at the amino acid data.
To identify the parameters involved in the overall and local models, the so-called imprecise training samples are constructed from running data by means of data analysis and expertise knowledge.To validate the proposed method, a numerical experiment was designed based on a UCI dataset, and the experimental results suggest its power for predicting evaluation of variables with uncertainty.
The output FBA is computed using a parametric, instance-based approach: imprecise training samples in the neighbourhood of x are considered as sources of partial information on the response variable y, and provide pieces of evidence reflecting the values taken by the response y; the pieces of evidences are pooled by using Dempster's rule of combination.
Subsequently the British Museum performed thermoluminescence dating which was consistent with the relief being fired in antiquity; but the method is imprecise when samples of the surrounding soil are not available for estimation of background radiation levels.
This circumstance would lead to an imprecise, ambiguous sample size calculation.
67 Evaluating the number of alleles is imprecise unless sample sizes are large, so it has not been widely used by the ICEMR sites.
A new interval importance sampling method is developed in this paper which applies importance sampling technique to the imprecise probability.
Rosaceae n/a - Northern bluff Total invasive species 16.8 100 West Chatham Is. *Values are conservative and imprecise based in non-quantitative field sampling.
This belief was based on a small number of studies, which used rather imprecise methodologies or only sampled restricted developmental lifecycle stages or species [ 10- 12].
Inaccurate and/or imprecise bilirubin measurements can potentially result in overtreatment or undertreatment of jaundiced neonates, including inappropriate blood sampling.
In the world of scientific research, Big Data can often mean replacing the traditional but imprecise science of sampling with looking at every single subject – say every tree in the Amazon rainforest.
