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A standard Bonferroni correction is applied to the remaining regions using the minimum binomial probability (P n ) for each region.
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Briefly, for any region with a length of n probes, P n represents the minimum possible binomial probability for the region.
The binomial probability mass function (equation 6) provides the probability that x successes will occur in n trials of a binomial experiment.
The estimation of these two distributions bases on binomial probability.
from the binomial probability of a (h, n − h) split.
A rationale for the appropriate choice of p, based on Binomial Probability is also presented.
This paper also discusses new pivots for Poisson mean, binomial probability and normal standard deviation.
A binomial probability based method to compute exact system reliability index is suggested.
Using a conventional binomial probability model, several genes were found mutated significantly.
Probability of retransmissions can hence be calculated easily using the following binomial probability density function: (12).
An optional analysis method allowing for a better estimate of confidence bounds, based on binomial probability is presented.
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