Sentence examples for range of possible variability from inspiring English sources

The range of possible variability assigned to each CC varies between a minimum and a maximum, with the constraint that each interval cannot overlap with the intervals of other CC with higher or lower weight (principle of coherence of categories).

Strong correlations among traits potentially limit the variation of any individual trait [28], which may ultimately slow the rate of evolution or constrain the morphological evolution of the module to a smaller range of possible variability.

For many markers (e.g., of apoptosis, cell division), the linkage to risk is highly uncertain (Woodruff et al. 2008), so the ranges of possible variability may be very large.

The use of statistical approaches to parameterising models based on field data allows greater insight into the relative strengths of different control strategies and into the range of possible outcomes and associated variabilities, particularly in cases such as paraTB in which there are a large number of biological parameters whose values are poorly understood.

After the definition of the variability range of possible input and its associated distribution, Monte Carlo simulation is used to have a wide sample of survey.

For dense pharmacokinetic data, the combined additive and proportional error models are often utilized because it broadly reflects assay variability, whereas for pharmacodynamic data (which often have uniform variability across the range of possible values), an additive residual error may be sufficient.

"This is because the assessment of air quality pays insufficient attention to these uncertainties and to the range of possible future scenarios, like road traffic, meteorological variability, climate change, background air quality and atmospheric quality," the report said.

Probabilistic design spaces were generated using stochastic simulations that showed the probability that each resin lot would meet product quality specifications, over a range of possible operating conditions, accounting for the historical variability experienced in the load material composition and concentration.

We adopted our assumptions for generating those synthetic benchmarks based on the averaged P V data reported in literature (Lorusso et al. 1997; Kawaguchi et al. 2001; Steendijk et al. 2006; Brinke et al. 2010) and tested a large range of possible pressure offsets according to physiologically realistic variability of diastolic P V data.

The relative worth of a strategy can be assessed by analysing the effects on the biophysical system and their variability across the representative range of possible conditions that is considered.

The large range of possible courses of the epidemic reflects the stochastic variability.