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Moreover, previous studies have shown that the coefficient of variation in warned reaction time tasks did not vary as a function of standard duration [9], [40], thus conforming to Weber's law, and that the time between movements in a predictive saccade task demonstrated the scalar property of variance [16].
(H ) Top: Gamma oscillation strength plotted as a function of standard deviation of the noise current.
In this study, the spectral power of the LFP was estimated as a function of standard deviation units (z-score) of the spontaneous activity.
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Cohen's d is a measure of the effect size, which is to say, how much the means between two populations vary as a function of their standard deviations, this measure is more meaningful than significance which is a function of the size of a given population (Coe 2002).
Often the losses are described as a function of the standard error or some other criterion (Barth & Ståhl 2012), but they could also be calculated for an actual decision problem (Eid et al. 2004).
One and two standard deviations from the mean are plotted to help visualize how the data is distributed Fig. 11 The standard deviation of the dimensionless production temperature (sigma _{theta }) as a function of the standard deviation of the fraction flow split (sigma _{phi }) when (L/ 2R) = 0.4) and (zeta =0.8).
The standard deviation for the minimum detectible distribution, σ D, can also be expressed as a function of the standard deviation for both the background count and target count.
Given that temporal variance in Experiment 1 increased as a function of the standard duration (Weber's Law), the ratio between the probe and the expected foreperiod was slightly different for different standard durations, varying on average no more than 10% (for example, the ratio of shortest probe to the expected one ranged from 0.45 at 200 msec to 0.52 at 1400 msec).
Orthogonal polynomials, which are often employed to empirically represent unknown and possibly very complex relationships, have been applied to the development of error budgets by fitting the variance of the projection as a function of the standard errors of the parameter estimates of the process model inputs.
Michael (1991) estimated the variation of as a function of the standard deviation of the errors in strike, dip, and rake of the fault plane solutions (FPS).
The resultant BER is shown in Fig. 6 d as a function of the standard deviation σ f of GLPF.
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CEO of Professional Science Editing for Scientists @ prosciediting.com