Sentence examples for the policy threshold from inspiring English sources
A minimum unit price or a ban on below cost selling policy is assumed to increase all product prices below the policy threshold up to exactly the threshold level, and it is further assumed to affect none of the products currently priced above the threshold.
Clustering is also able to consider many dimensions within the vectors representing the policy thresholds and in this way the complex non-linear relationship between different policy thresholds is captured.
In the same manner as for the simulation model, the fuzzy-c-means algorithm clusters the corresponding vectors comprising the policy thresholds.
There were no differences in GHQ12 or QALYs and the probability of the system of care being cost-effective at 6 months was low at the current policy threshold of £20,000 to £30,000 per QALYgainn.
True, the Fed's use of the classic measure of the unemployment rate as a key policy threshold underestimates the US economy's fragility.
The process used for the selection is based on fuzzy-c-means clustering of the performance results and corresponding threshold vectors for each user to attempt to match the best performance with the corresponding policy thresholds.
Table 1 Investigated load control policies, with the respective threshold rule and threshold type LC policy Threshold rule Type ANS between LTE micro ANS between LTE macro layer and WLAN layer and WLAN Micro LC RSS-based ANS rule RSS Supported based on the load Not supported.
This result sheds some light on policy threshold effects: "slight" changes in the underlying state cause a jump in the policy responses.
Just like with inflation targeting, we're saying [the government] should choose a national index, set an explicit policy threshold, and then act on the basis of that threshold".
The reason for using clustering (rather than interpolation or curve fitting) is that we assume that in a real scenario we do not have any prior knowledge of the relationship between policy thresholds and the corresponding user dissatisfaction performance.
For the case of tLow = 200 ms, the finally derived policy thresholds (i.e. corresponding to the best cluster centre vectors over ten iterations) are tHigh 1 = 250, tHigh 2 = 530, chacLow 1 = 6.0 and chacLow 2 = 2.2, which implies user 1 exhibits more proactive and reactive opportunistic behaviour than user 2 while user 3 remains static on the same channel.
