Sentence examples for binomial approximation to the from inspiring English sources
The statistical significance of GO group enrichment is determined using a binomial approximation to the hypergeometric distribution with a p-value cut-off of 0.005, as described in detail elsewhere (www.dchip.org) [36].
We evaluated the performance of two pathway-based methods (Random Set, and Binomial approximation to the hypergeometric test) based on their applications to three data sets of Crohn's disease.
A binomial approximation to the normal distribution was used to calculate the Z-score where: A Z-score > 1.64 (P < 0.05, one-sided test) was considered significant when testing for overrepresentation of a given HT.
In the multivariate case, we provide a quasi-binomial approximation to the distribution of both the resubstitution and leave-one-out error estimators for LDA, under a common but otherwise arbitrary class covariance matrix, which is assumed to be known in the design of the LDA discriminant.
We first present in details how the delta-method can be used to get a Gaussian approximation for the distribution of S N (using a binomial approximation to compute the pattern statistics).
The first method was the binomial test (BIN), an approximation to the Fisher's Exact Test.
Using the linked health administrative data, dichotomous process of care, and outcomes of defaulters, the retained and discharged groups were described using point estimates with 95% confidence intervals for proportions using the normal approximation to the binomial distribution, or the exact binomial method in the case of small frequencies.
Individual entries in Table 1 are each based on 1000 simulations, so their confidence limits are approximately ± 2 (on the basis of the normal approximation to the binomial).
An important stochastic process described implicitly in the discussion of the Poisson approximation to the binomial distribution is the Poisson process.
The result is a different kind of approximation to the binomial distribution, called the Poisson distribution (after the French mathematician Siméon-Denis Poisson) or the law of small numbers.
