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This information is one of randomly occurring coupling strength with binomial distribution.
Binary data with binomial distribution, Binomial(n = 1, P = 0.5).
This is a generalized linear model with binomial distribution family and identity link function [ 32].
Generalized linear model analysis with binomial error distribution was used for statistical analysis to estimate channel activity in response to high intracellular Ca2+, the PKC activator PMA, and/or 8bcGMP (Crawley 2002).
We used generalized linear mixed-effect models (GLMM) with binomial distributions to analyze our data set.
As well, the numbers of gene structures per primitive segment would, on discrete analysis, approximate a negative binomial distribution with the probability density, Somewhat over 40% of segments would thus be predicted to contain no evident gene structures, and about 25% would contain only one gene (Fig 4, insert).
Our sample size was small (N = 4 fish for each experiment) therefore a Generalized Linear Mixed Model fit by maximum likelihood (Laplace Approximation) with a binomial distribution with logit-link function was used for analysis in both experiments (see Statistical Analysis section for more details).
Excellent agreements in branching dispersities between calculation with branching moments and prediction with assumption of binomial distribution for a tubular reactor and CSTR processes show that the branching distribution follows a binomial distribution for both processes.
For each experiment we used a Generalized Linear Mixed Model with a binomial distribution with log-link function.
The statistical method used in our analysis was Generalized Linear Models (GLM) with a binomial distribution.
The multivariate analysis used a logistic regression model with an underlying binomial distribution with the Logit link.
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