Sentence examples for real variance from inspiring English sources

Exact(5)

This highlights that although the strategy devised in Section 4.2 is the most complex, the method is still interesting because there is a good prospect of L v and M 2 being higher than T. Therefore, the refined direct decision method is likely to be more efficient than the computation of the real variance.

According to the central limit theorem [18], the probability density function of the sample mean follows a Gaussian distribution N μ, σ 2 N ), where μ is the real mean, σ2 is the real variance, and N is the number of samples.

The choice of the model or solar EUV proxy may affect the trend values as long as the model or proxy selected does not effectively reflect the real variance of foF2 due to the solar EUV radiation, which is the part one wants to filter before trend determination.

Similarly, because the variance of estimates of fecundity is proportional to the real variance of fecundity among individuals (equation (1), we simulated with 3 levels of fecundity variance.

For each LTR sequence, the average signal intensity was calculated, and the observed variance between LTR signals was recorded (the real variance).

Similar(55)

"It's one thing to do a demonstration—'Look, Ma, no hands!' But I'm talking about real production variance and systems we're confident in.

"It's one thing to do a demonstration — 'Look, Ma, no hands!' But I'm talking about real production variance and systems we're confident in.

Consequently measures of each spouse's occupation's (intertemporal real) earnings variance and the pairwise covariance are included in the model to control for any link between the O*Net distances and correlated earnings.

The work in [50] presents a K-deviation method to perform frequency regulation in a real-time variance tracking mode.

In addition, we assume that both the channel response and the error sequence have the same power per real dimension; the variance of can be computed as.

The noise vector w is an S-dimensional zero mean Gaussian random variable with independent, equal variance real and imaginary parts.

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