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The extremal distributions provide clear bounds: best case extrema are found below the plot of the generating function, worst case extrema are found above.
Although the experiments shown in this article and in some referenced articles are quite different, it could be interesting to compare session set-up times reported by Munir and Gordon-Ross [29] (well above 1 s in the best case) and our switching time (below 100 ms by using TCP as transport protocol).
Rather, since we are relying on this venture to provide the livelihood for our family, we have chosen to evaluate and present it far below the best case scenario.
My Lynch-based model considers P/E/Gs below 1.0 acceptable, and those below 0.5 the best case; Granite's yield-adjusted P/E/G of 0.52 passes with flying colors.
When it came to finding undervalued stocks, Lynch was known for using the P/E/Growth ratio (which divides the P/E ratio by the firm's historical growth rate), with P/E/Gs below 1.0 acceptable and those below 0.5 the best case.
The model I base on Lynch's writings sees PEG ratios below 1.0 as acceptable, with those below 0.5 considered the best case.
Even in the best case, he says, growth will fall below 5%.
To find fast-growers selling on the cheap, Lynch famously used the P/E/Growth ratio; P/E/Gs below 1.0 are acceptable to this model, with those below 0.5 the best case.
To find growth stocks selling on the cheap, Lynch famously used the P/E/Growth ratio, adjusting the "growth" portion of the equation to include yield for stalwarts, since they often pay solid dividends; yield-adjusted P/E/Gs below 1.0 are acceptable to my Lynch-based model, with those below 0.5 the best case.
To adjust for this, our tables below present a "best case" scenario wherein all non-registered households are assigned a hypothetical household-level income variable that is identical to their area-level income.
Despite some improvement with practice, temporal acuity in this task does not fall below 20 30 ms in the best case, which is similar to the temporal resolution limit, and performance does not improve for comparison tasks with multiple stimulus presentations.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com