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We disabled retries as our model only estimates the RREQs generated during a single route discovery.
It is important to consider also that the model only estimates the risk of entrance/release of potential ASFV-contaminated material/transports, but does not consider the subsequent exposure of the susceptible livestock population in the destination country.
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Because GATK pooled-sample model only estimated the proportion of haplotypes carrying the alternative allele without reporting the genotype of each position, all the sites with alternative allele proportions differing from 0 and 0.5 were reported as mosaic.
The SVR model not only estimates the time-dependent scour depth more accurately than conventional regression models, but also provides results that are consistent with the physics of the scouring process.
The model includes only estimates of non-specific binding, tracer affinity, and target protein expression in the brain.
For comparisons across different markets, I move to a more parsimonious specification of the monopsony model, requiring only estimates of the wage elasticity to any voluntary job separation, restated here:7 epsilon_{l,w}= -2beta^{text{vs}}.
Implementation of IMC is simplified in a large class of industrial applications where the process dynamics can be adequately characterized by a simple first-order model requiring only estimates of process gain, lag time constant, and deadtime for implementing the controller design.
With fixed model estimation, only estimated future population was used as a variable.
However, in a mixed effect model, only sex (estimate = -1.49, standard error (SE) = 0.39, p < 0.001) and global cognitive function (estimate = -1.05, standard error (SE) = 0.34, p < 0.003) were significantly inversely associated with risk aversion.
For the linear model only, I estimated ERR0.025,φ by fitting the model to the restricted subcohort of cells with mean weighted adjusted colon dose ≤ 0.5 mSv; ERR1,φ was obtained from fitting the 0 – 20 mSv data, as with all other modelling.
Log-linear modelling not only estimates parameters showing the extent to which variables and categories are linked, but also provides a test which indicates how well the finished model fits the data underlying the analysis (Goodness of Fit).
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