Sentence examples for dispersion relative from inspiring English sources

Moreover, effective dispersion, relative dispersion slope, birefringence and confinement loss are also presented and discussed.

The dispersion parameter, ν, accounts for the amount of data over- or under-dispersion relative to the Poisson distribution: ν=1 implies that data equi-dispersion exists, while ν>1 denotes under- (over-) dispersion relative to the Poisson model.

Fluorescence polarization, giving probe angle and its dispersion relative to the fiber long axis, was monitored simultaneously with isometric tension.

Isolation/non-isolation depended upon farmland fragmentation and field dispersion relative to the other farm fields and to the farmstead.

Additionally, we presented a test IGRF SV candidate as the ensemble average of SV forecast resulting from the stochastic EnKF, averaged in time over 2015 to 2020 (its associated error bars are estimated from the dispersion relative to the ensemble average within the ensemble of SV forecast realizations).

The associated error bars are estimated as the dispersion relative to the ensemble average within the K realizations of the MF model: displaystyle delta textbf{g}_{text{DGRF}} = sqrt{frac{1}{K} sum_{k=1}^{K} left[ textbf{g}_{k}(2010) - left<textbf{g}(2010)right> right]^{2}},.

Over-dispersion relative to the Poisson distribution (i.e. where the variance is greater than the mean) is a common feature among real data.

for (r in mathcal {Z}^), p∈ 0,1), and (nu in mathcal {R}) such that ν=1 produces the usual binomial r,p) distribution, ν>1 corresponds to data under-dispersion relative to a binomial distribution while ν<1 corresponds to data over-dispersion relative to the binomial r,p) model.

Faddy ([1997]) provided a unifying approach to under- and over-dispersion relative to the Poisson distribution within a scheme of a similar nature, which generalizes the simple Poisson process that underpins the Poisson distribution.

The Lexis ratio appears to be the first statistic suggested for testing for the presence of over- or under-dispersion relative to a binomial hypothesized model in populations structured in clusters.

A crossover design was used to evaluate the oral bioavailability of amorphous dispersions relative to crystalline drug in beagle dogs.