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This expression can also be formulated using the binomial coefficient, :{2N \choose k} p^k q^{2N-k} The Moran model assumes overlapping generations.
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As noted by King and Zeng (2001a, 2001b), having a low rate of Y = 1 (as in the Stockholm case), along with a small sample size, can skew the coefficients estimated using the binomial logistic regression.
For each simulation, given a fixed population size and selection coefficient, we sampled allele frequencies at each generation using the binomial sampling probabilities in Equation 1.
The option is analysed using the binomial decision tree.
Using the binomial expansion for we obtain (A2).
Again, using the binomial expansion for we obtain (A5).
However, the results of considering managerial flexibility using the binomial model show that the uncertainty generates value for the project.
We therefore modeled the data using the Binomial distribution.
These P-values are computed using the binomial distribution.
CIs were estimated using the binomial exact.
Imbalance detection statistics using the binomial test and multiple thresholds or the beta-binomial test.
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