Sentence examples for mean random variables from inspiring English sources

But their restrictions to the finite-neighborhood are not necessarily zero mean random variables.

First, it is based on the correct assumption that and are modeled as zero mean random variables.

Assuming that the channel tap coefficients are independent with zero mean, this implies that are zero mean random variables and pairwise uncorrelated for different.

Theorem 2.2 Let α > 0. Suppose that { X n, n ≥ 1 } is a sequence of zero mean random variables which is stochastically dominated by a random variable X with E | X | ln + | X | < ∞.

Theorem 2.1 Let α > 1 / 2, α p ≥ 1 and p > 1. Suppose that { X n, n ≥ 1 } is a sequence of zero mean random variables which is stochastically dominated by a random variable X with E | X | p < ∞.

Corollary 2.1 Let 1 < p < 2. Suppose that { X n, n ≥ 1 } is a sequence of zero <span class="lh">mean random variables which is stochastically dominated by a random variable X with E | X | p < ∞.

Consequently, is also a zero mean random variable.

Note that our basic model may be used to study some NLOS scenarios since each tap of the channel impulse response is a zero mean random variable.

zero-mean random variables X i. Bentkus and Götze [2] gave a Berry-Esseen bound for Student's t-statistic.

Let U1,…,U ℓ be independent zero-mean random variables, with |U i |≤a for all i.

Let Y1,…,Y ℓ be independent zero-mean random variables, with |Y i |≤b for all i.