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The relationship between the reaction rate and the shear rate can be expressed by a binomial formula which can predict the surface reaction rate.
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LQAS applies cumulative probabilities calculated with a binomial formula to select small sample sizes and decision criteria for judging a group of providers.
When it happens that (left| mathbf {a} right| in mathbb {N}_{0}) expansion by the binomial formula and application of the Cauchy integral formula completes the proof of Theorem 1.
If even one of these two sets, LSCC or CCC, is random, the expected number of common elements would be smaller than 13 (49 × 64/254) and the probability of |LSCC ∩ CCC| ≥ 27 would be below 10-6 (estimated by binomial formula).
Qualitative variables were summarized as percentages and associated with 95% confidence intervals (95% CI, provided in squared brackets) calculated with an optimized binomial formula similar to that presented in [ 28].
The approximation of the binomial formula by the normal distribution is guaranteed by the Central Limit Theorem.
The availability of power system components is modelled by a Binomial PDF [21].
In this model, (alpha_{t}) is supposed to develop as stated by a binomial process.
The distribution of errors among sequences closely matched that predicted by a binomial distribution function.
This distribution can be modelled by a binomial probability distribution.
The degree distribution for this model is given by a binomial distribution.
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