Sentence examples for describes the random variable from inspiring English sources
In analogy with the log-normal distribution, this model describes the random variable Y= exp(X), where X is Laplace-distributed with the PDF (1), and is given by the PDF g y)=frac{alpha}{2delta} left{ begin{array}{ll} (y/delta)^{alpha-1} & text{for (0leq y < delta)}, (y/delta)^{-alpha-1} & text{for (ygeq delta)}, end{array} right.
To use shorthand, we describe the random variable S that has distribution function (1) as S∼B-S.
Each case leads to different expressions for the parameters μ H|C S I and C H|C S I, which completely describe the random variable H t) conditioned on the available C S I as follows mathbf{H}(t)=boldsymbol{mu}_{mathbf{H}|mathbf{CSI}}(t)+mathbf{n}(t), (33).
This variation will be described by the random variable Y.
The bead intensity of a given gene in a BeadChip is described with the random variable X.
We conclude from the previous subsection that the random variable describing the calcium concentration does have a parametric distribution.
Similar to the derivation of the random variables for the forwarding phase, Equation (4) computes the random variable describing the time of waiting after exactly n waiting phases.
where the distance d i between destination and node i is normalized to meters, and the random variable H describes multipath fading.
Let the random variable V describe the wind speed (in m/s) at an arbitrary site of a wind farm.
The GDP probability function is described as the following (11) where the random variable X is the number of BEs (m = 1, 2,... J), f (m; k, β, J) is the probability that a randomly chosen specific loci has exactly m BEs.
where (n_{i,j} sim mathcal {N}left (0,sigma _{ij}^{2}right)) is an independently and identically distributed (iid) Gaussian noise variable with variance (sigma _{ij}^{2}), di,j denotes the actual distance between agents i and j, and dj→i is the random variable (RV) that describes the distance measured by agent i based on a ranging pulse sent by agent j.
