This section is followed by the presentation of the enlarged gravity model, different methods of estimation employed in the analysis, variables and their hypotheses along with the data.
In the framework of stochastic actor-driven models for network change ("SIENA models"), different methods to cope with such incomplete data are investigated.
Based on a non-linearized 3-DOF 1/4 vehicle model, different methods of fault detection and isolation (FDI) are used to diagnose the sensor faults for ECAS system.
In the model, different methods for the design of radial turbines are screened, with special attention to the estimation of losses, for which correlations from literature are used.
In order to update or evaluate an uncertain model, different methods have been proposed, but many of these, such as the Monte Carlo simulation or the transformation method, require multiple sequential evaluations of the model.
The discrete nature of these scores is taken into account in genetic evaluations using a threshold model, which assumes an underlying continuous distribution called liability that can be modelled by different methods.
Computer simulations are carried out to compare the theoretical and simulation results for the channels whose spatial correlations are modeled with different methods.
Therefore, this prior work is modeling a different method of attack than the one that has actually occurred in this case.
The 0th, 1st and 2nd order Markov chain model based genomic signatures, referred to here respectively as ZOM, FOM and SOM based models, are different methods used to compare genomes by estimating the total difference between observed and approximated tetranucleotide frequencies.
