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Using large-scale optimization techniques, we are able to calculate – to an arbitrary degree of accuracy – the complete set of Pareto-optimal configurations of power plants, which attain the maximum possible energy delivery for a given level of power supply risk.
Although regression discontinuity designs require larger sample sizes than RCTs to achieve a given level of power, they can often be implemented using routine clinical or administrative data, which are comparatively cheap to collect.
MacCallum et al. [ 37] suggested, in 1996, a method to determine a minimum sample size required to achieve a given level of power, for a test of fit using the RMSEA fit index.
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For a given level of excitation power re-radiation effects are also apparent for the ensemble mean power flow from an infinite subsystem to a finite subsystem.
The other is to allocate a given level of transmit power to the two source nodes.
However, the results show that more individuals per lane and more lanes are required in order to obtain a given level of statistical power compared to the equal contribution case.
These plants are dispatched using solutions of the "unit commitment problem" (Baldick [1995]) that, for a given level of production, use the cheapest sources of power first.
Power to detect a given level of structuring and type I error were estimated using 1000 simulations.
To analyze the effects of objective power and manual versus automated counts within a given level of seeded cells, a repeated measures analysis of variance (RM ANOVA) was conducted.
A given level of Vg corresponds to a specific z-statistic and the same Vg would always give rise to the same power.
Assuming that power is evenly distributed over the sub-bands in every cell[7 10], we consider the power assignment scheme where each cell can select, among a given set of power levels, the power to be used per sub-band.
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