The AAQM algorithm is a feedback control function which adjusts the rate of congestion notification in response to the flow-based congestion measure which estimated the packets arrival rate.
In Study 2 we examined whether heavy and light media multitaskers differ in delay of gratification, using the delay discounting measure which estimates the preference for smaller immediate rewards, relative to larger delayed rewards in a hypothetical monetary choice task.
ω2 is an effect size measure which estimates the proportion of variance in a dependent measure accounted for by independent categorical variables in the population from which the sample was drawn.
We therefore propose a non local external stereo confidence measure, which estimates how well a primitive's neighbours that belong to the same group agree with that primitive's putative stereo correspondences.
Another method to examine the microbiota community structure is to use the Chao1 measure which estimates the minimum richness in each sample [ 27].
However, a feature of RF that is especially relevant in the current analyses is the variable importance measure, which estimates the relative importance of the TFBSs in discriminating one group from another and helps to select the TFBSs that are probably involved in the SMAD modules.
It also does not include the legacy costs of the bank bailouts for 2008-09 and other crisis measures, which are estimated to have cost £35bn in 2012-13.
And then, some interaction measures, which are estimated in terms of the controlled object and the closed loop system, are demonstrated to see how the difference of decomposition is reflected in the calculated results of the interaction measures.
The same logic applies to the ability measures, which were estimated using all available information.
Performance was also analyzed using A′ and BD″ signal-detection measures, which provide estimates of sensitivity and response bias, respectively (Macmillan and Creelman 2005).
We also analyzed two alternative measures, which try to estimate the number of clusters based on the optimal enrichment of functional terms or pathways within the modules.
