Sentence examples for case distributions from inspiring English sources

These bounds provide "best case" and "worst case" distributions.

When two moments are known, the worst case distributions have the lowest third moment (strongest right skew).

To do so, we use the Kolmogorov-Smirnov (KS) test [44] which is a nonparametric test to measures the overlap of two distributions: in our case, distributions of scores of genuine and impostors, respectively.

Accordingly, the sCMP class further captures the special case distributions of the CMP model: a geometric distribution with success probability, p=1−λ, when m=1, ν=0, and λ<1; and a Bernoulli distribution with success probability (p_{ast = } frac {lambda }{1+lambda }) when m=1 and ν→∞.

We opt for this formulation as it holds true to the form that generalizes the construction of the three special case models (negative binomial, Poisson, and binomial) as sums of their respective special case distributions associated with the CMP distribution (namely, the geometric, Poisson, and Bernoulli models).

These overall case distributions were then used to correct the case distributions of birth dates and diagnosis dates, respectively, for the CNS tumours and sub-diagnostic groups.

Demography and case distribution were similar in both groups.

Another point of view, an uneven case distribution was named as potential obstacle.

Rather than measuring the actual case distribution, we introduce a new competence model that detects differences through changes in competence.

The second problem is caused by uneven case distribution, such that similar problems may have dissimilar solutions.

Racial distributions of cases from published case-control studies were compared to those of a presumably noncensored case distribution (i.e. include both participating and non-participating cases in a case-control study) or cases recorded by cancer registries.