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Two-dimensional isothermal and thermal vortices provoked by the Kelvin–Helmholtz instability are simulated by the parametric models.
These could then be tested by the parametric models described above.
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Integral image was used to efficiently estimate local statistics needed by the parametric model.
The result is confirmed by the parametric model which shows a statistically significant difference (of approximately 10 percentage points) (Table 3).
The lysis interval (11.4 min) did not evolve to the predicted optimum of 5.5 min (calculated using lysis time variance as in equation 3, p < 0.0002 by the parametric model).
However, the efficiency of the parametric models is greatly affected by the volume of the censored observations.
By contrast, the parametric model assumes that the underlying stationary stochastic process has a certain structure.
In all cases, the predicted PCE distributions were influenced by selection of the parametric model for capillary retention and relative permeability.
In a second step, covariates were tested one by one using the parametric model.
In correspondence with the parametric model selected by the BF analysis, the BSP model (which estimates past population dynamics through time independently of any fixed parametric model of demographic history) indicated that the population size was maintained over time for the three data sets, under the different molecular clock models.
We exploit the parametric model (1) by deriving the probabilities d y n = y n, M n = m n | x), n = 1,…, N s, conditional on the random variables G n that denote the QTL genotype for individual n.
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