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Based on this analysis, power densities of above 200 mW cm−2 can be expected.
Both models have good predictive ability based on residual analysis, power analysis, and cross-evaluation.
Power analysis (power 0.8; α 0.05) indicated a sample size requirement of seven knees for valid comparisons.
The time domain analysis, power spectrum analysis and Hilbert Huang transform were applied to the experimental and simulation data.
Concepts of general scaling methods and theories are dimensional analysis, power law scaling, space and time dependent scaling.
The result is then compared with the existing cascade analysis, Power Cascade Table and Storage Cascade Table.
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The chapter talks about power-systems analysis, power-factor correction, and static compensation (STATCOM).
New 2015 analysis, powered by CrunchBase, shines a light on the representation of female founders and female founder/CEOs as companies progress through fundraising stages.
For the two-study meta-analysis, power calculation requires simulating the two case control data sets for each iteration and performing the z test based on the weighted normal distribution (equivalent to a fixed-effect meta-analysis).
So, even in this large meta-analysis, power was still modest to detect small ORs and we therefore cannot exclude smaller effect sizes of the tested variants, resulting in lack of reproducibility.
Power analysis revealed sufficient power to detect meaningful differences.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com