Sentence examples for between random variables has from inspiring English sources

Mutual information (MI) [26], [27], a generalization of linear correlation between random variables, has been at the heart of many algorithms for correlated substitution analysis for a number of reasons.

The correlation between input random variables has been taken into consideration.

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.

This paper investigates some precise large deviations for the random sums of the differences between two sequences of independent and identically distributed random variables, where the minuend random variables have subexponential tails, and the subtrahend random variables have finite second moments.

These chains of random variables have found numerous applications in modern physics.

random variables having distribution, and.

The output decisions are random variables having the same pdf,.

random variables having exponential distribution with parameter ρav.

If к > 0, random variables X and Y have positive correlation; if к < 0, the random variables have negative correlation.

If we consider that are uniformly distributed between 0 and, the random variable has a triangular distribution function over the range, and the probability that condition (2) is not satisfied coincides with the area of the shadow region shown in Figure 6, that is, (18).

The variance of a random variable is its second moment only if the random variable has zero mean.