Gengler et al. [ 9] suggested that missing genotypes could be modelled using the usual mixed model methodology with relationship matrix A. We now combine that idea with the genomic relationship matrix on the form (1).
In the new model, which we call Solid-by-Solid model, the usual Solid-on-Solid criterion is not assumed.
Two approaches are used to calculate global rate coefficients for the LDF model: the usual way where the average intraparticle concentration is calculated from the LDF model and a new one that uses the solution of the diffusion equation.
However, in order to test for deviations from quantum physics like those predicted by collapse models, the usual decoherence mechanisms should be at most of the same size as the decoherence mechanisms we want to test for.
In neuron models, the usual situation is x = ( V, … ) and w = ( 1, 0, …, 0 ) ; thus, the phase response function (PRF) is defined as PRF ( x ) = ∂ V Θ ( x ), (12).
When the PI is the linear predictor from a model (the usual situation), the calibration slope is by construction exactly 1 in the derivation dataset.
Given the anticipated complexity of the final regression model, the usual presentation of a regression model showing estimated HRs and 95% CIs is less meaningful.
The dispersion models are another usual approach used for modeling the nanofluids, which were first suggested by Xuan and Roetzel [16].
This approach is based on a probabilistic Bayesian model integrating the usual RH probabilistic model with a probabilistic model of breakpoint occurrences with the reference order.
This approach is based on a probabilistic Bayesian model integrating the usual RH probabilistic model with a probabilistic model of breakpoint occurrences with a reference order, typically obtained from the position of orthologous markers in a related sequenced genome [ 20].
