Sentence examples for modelled sample from inspiring English sources

(a) shows the beam spot positions given by the weighting factors w n within the plane of the modelled sample surface.

As this variable has been identified as important in previous studies [ 15, 27], and significantly impacted on collaboration when modelled using Sample 1 data, it should not be disregarded but may be worth investigating in future research.

The count data can be modelled as samples from Poisson distributions with possible different parameters.

We parameterised two models (one for IBR, one for EBL) using the corresponding data for the respective diseases and modelled two sampling scenarios, one hypothetical and one practical, for each disease.

In the mesoscale model, the test sample is modelled as a three-phase composite consisting of aggregate, mortar matrix and interfacial transaction zone (ITZ) between the aggregate and the mortar matrix.

Each observation (i.e. measurement on each side) is modelled as a sample from a normal distribution with mean equal to the unknown trait value and variance equal to the degree of measurement error (σME): where i = 1..N and j = 1..K with N = number of individuals and K = number of within subject repeats.

Modelled percentages of samples exceeding three thresholds, 100, 1000 and 10000 ppb by wet weight, are shown in Table 4 for birds pooled across cooking methods.

The population starts at size N0 and growth continues until the population reaches carrying capacity, at which point serial transfer, modelled as multinomial sampling, reduces the population size back to N0 which initiates another round of exponential growth.

Observed and modelled percentages of samples exceeding three thresholds, 100, 1000 and 10000 ppb by wet weight, are shown in Table 3 and the modelled and observed distributions of values are in Figures 2, 3, 4, 5, 6, 7, 8, 9. Very small proportions of chicken samples exceeded the 100 ppb wet weight threshold and none exceed the other two thresholds.

This principle emanates from probabilistic and statistics theory, where a random variable can be modelled based on a sample of observations with increasing confidence and accuracy as the size of the sample grows.

Mathematically the fatigue crack sample is modelled as a discrete spring with piecewise nonlinear stiffness which is assumed to be constant when the crack closes and to decrease with crack length when it opens.