Sentence examples for model trajectory from inspiring English sources

Hierarchical linear modeling that was tailored for N=1 analysis (mixed model trajectory analysis or MMTA) tested associations between risk factors and pain severity of (non migraine headaches.

The continuous measure of severity of migraine headache was modelled using mixed model trajectory analysis (MMTA), a form of hierarchical linear modeling.

The SD model trajectory of cumulative Charlottetown land value over the planning period for the No Storms scenario (Fig. 4a) shows relative stability in residential and commercial lands consistent with the slow growth population trend and the aging population.

The import of the faithful model assumption is that if one were to plot the trajectory of the target system in an appropriate state space, the model trajectory in the same state space would monotonically become more like the system trajectory on some measure as the data is refined (I will ignore difficulties regarding appropriate measures for discerning similarity in trajectories; see Smith 2000).

Again, the import of the faithful model assumption is that if one were to plot the trajectory of the target system in an appropriate state space, the model trajectory in the same state space would monotonically become more like the system trajectory as the model is made more realistic.

Thus, when each model is subjected to a train of discrete inputs of a fixed total magnitude, it is possible that maximal firing is attained by a critical kick strategy of giving just enough input to push the model trajectory above this threshold and then giving the minimal kick after each spike that achieves threshold clearance again.

Modeled accordingly, this resulted in model trajectories explaining all data simultaneously.

Singular global trajectories (black, solid) are here overlaid with their corresponding nonsingular propofol model trajectories (black, dashed).

Finally, an identity surface based face recognition is performed dynamically from video input by matching object and model trajectories.

Not because the model trajectories are isomorphic to the system trajectories; rather, because there is a topological or geometric similarity or correspondence between the models and the systems being modeled.

The approach is mainly targeted for surveillance systems (e.g., Ambient Assisted Living [33]) to model trajectories of persons or to model routines within sensor environments.