Sentence examples for behavior of the variance from inspiring English sources
Fig. 5 This graph shows the monotonic decreasing behavior of the variance of the image for coherence enhanced diffusion (CED).
In this limit, the leading behavior of the variance σ is ∼ x − 0 log λ / N s.
The behavior of the variance of the admixture fraction is more complex than that of the expectation.
For the special case of constant admixture over time, we have analyzed the behavior of the variance of the admixture fraction.
This monotonic decreasing behavior of the image variance is also evident in the graph depicted in Fig. 5 when we are diffusing our fingerprint image shown in Fig. 5. What can be seen from the graph is that it is fast decreasing in the beginning, but towards the end, it becomes saturated, providing convergence.
The above equation shows the time evaluation or the transient behavior of the weighted variance E [ ∥ v n ∥ A 2 ] for any constant weight matrix A. Different performance measures can be obtained by the proper choice of the weight matrix A. The learning curves for the EMSE and MSD can be obtained using the fact that E [ e a n 2 ] = E [ ∥ v n ∥ R 2 ] while MSD = E [ ∥ v n ∥ I 2 ].
Moreover, as opposed to FCA in which the brightness and the number of molecules in the optical observation volume are extracted from higher moments of the intensity for arbitrary sampling times [ 37], in this paper the rotational diffusion time of the diffusing molecule is extracted from the short time behavior of variance of the time averaged intensity.
This is done to observe the macro-scale behavior of the model over variance and information asymmetry ranges.
It is demonstrated that the discrete formulation may give an oscillatory behavior of the axial temperature variance profile.
In the special case of constant admixture, we have solved the recursions and analyzed the behavior of the expectation and variance.
Without achievement-related classroom behaviors, only 8% of the variance in academic achievement could be explained.
