Sentence examples for distribution of sums from inspiring English sources

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When more than one matrix is considered, the concept of asymptotic freeness [38] leaves us to compute the eigenvalue distribution of sums and products of random matrices.

This feature of the gamma distribution facilitates numerical calculations by making it possible to compute the distribution of sums of independent gamma distributions with a common α value and, correspondingly, the product of independent log gamma distributions or reciprocal log-gamma distributions having a common α value, using only the incomplete gamma function and elementary functions.

Similar(58)

"A Saddlepoint approximation to the distribution of sum of i.n.i.d.n.i.d

In case that these coefficients having Gamma distribution are independent, the estimation of the distance between the distribution of sum of them and normal distribution has been obtained.

Figure 6 right) shows the distribution of sum of flows passing for each zone: given a flow value (x) it shows how many zones (y) present that total flow.

This new method uses estimation of the distance between distribution of sum of these independent random variables having Gamma distribution and normal distribution, probabilistic constraint obtained via Essen inequality has been made deterministic using the approach suggested by Polya.

Blue symbols show the distribution of summed network outputs for all compounds in the validation set, whereas red symbols represent network sums for misclassified compounds; tallies for the latter are offset by 0.5 for clarity.

In this paper, a method for approximating the probability distribution of sum of independent and identical Weibull random variables is adopted to analyze the performance of equal gain combiner (EGC) receiver over non-identical Weibull fading channel (WFC).

Figure  1 shows the distribution of particular lifestyle scores and the distribution of sum score.

> -wrap-foot> Approximatheg the distribution of sum of weights by saddlepoint method, our SaddleSum is able to adapt itself equally well to distributions with widely different properties.

Distribution of sum and individual congener concentrations were skewed to the right, and data did not exhibit a normal distribution following logarithmic transformation.

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