Sentence examples for a continuous random distribution from inspiring English sources

The assumption of this selection procedure is that metric values are samples of a continuous random distribution and, furthermore, that all metrics are statistically independent.

Variation in development time (i.e. the inverse of development rate) has been modeled as a continuous random variable with a distribution of frequencies, such as the normal distribution [ 124] or with a heterogeneity factor [ 125].

Let X:Ω→H be a continuous random variable with the distribution function F and let q 1 and q 2 be two real functions defined on H such that E[q 1(X)|X≥x]=E[q 2(X)|X≥x]η(x),x∈H, is defined with some real function η.

Time until next reaction a sum x e − a sum x τ is the density function for a continuous random variable with an exponential distribution.

Furtherance to the work by Eugene et al. (2002), who proposed and defined the beta-generated class of distributions for a continuous random variable, derived from the logit of the beta random variable, many statistical distributions have been proposed and studied by numerous authors.

The micro-crack length is a continuous random variable following a given probability distribution.

A method is presented in this paper which gives satisfactory estimation of the complicated distribution of a continuous random variable.

The exponential distribution is a continuous random variable with the probability density function: (3.80).

According to Kafadar (1988), a continuous random variable ξ has a slash normal distribution, written ξ∼S L N q,0,Σ), if it can be expressed as ξ=Z/U 1/q where Z∼N k (0,Σ) and U∼U 0,1) are independent.

where X is a continuous random variable with probability density function (pdf) f(x) and cumulative distribution function (cdf) F x).

It's a continuous random variable.