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In particular, the a priori distribution of SMF descriptors was modeled using a binomial law, Bernouilli distributions or first order logic.
This was calculated using a Binomial law with 2 to 8 successes amongst 276 trials, with a probability of success being estimated as the size of the interval divided by the genome size (3000 megabases; in this study, the gene distribution was supposed to be similar for each chromosome, which is an approximation since some chromosomes are gene-rich and some others are gene-poor).
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Survival was modeled using a binomial error distribution.
A multivariate analysis was performed to identify independent factors using a binomial logistic regression.
Using a binomial test I show strong evidence that there is a preference for solar orientations.
Therefore, the significance of co-occurrences must be evaluated using a binomial distribution with trial-specific probabilities, i.e. the Poisson-binomial distribution (PBD).
Using a binomial GLM with canonical logit-link, we modeled the protection index as a function of covariates.
This was significant as the hypothesis of equal proportions of low and high velocities were rejected using a binomial model.
For comparison we show the same graph using a binomial model (assuming independence between individuals regarding FIV, Fig. 6b).
Equality of gender was shown using a binomial exact test.
Models were fitted using a binomial distribution with logit link.
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