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This is a generalized linear model with binomial distribution family and identity link function [ 32].
This information is one of randomly occurring coupling strength with binomial distribution.
Binary data with binomial distribution, Binomial(n = 1, P = 0.5).
We used generalized linear mixed-effect models (GLMM) with binomial distributions to analyze our data set.
For each experiment we used a Generalized Linear Mixed Model with a binomial distribution with log-link function.
Curves were estimated using a generalised linear model (glm) with a binomial distribution and a "probit" link function.
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.
The proportion of sequences was scaled by 1,000 and values were converted to integers so that a generalized linear model with a negative binomial distribution could be used.
The randomly changing coupling strength is considered with the concept of binomial distribution.
Krawtchouk moments represent a set of orthonormal polynomials associated with the binomial distribution.
The distribution conflicts with the binomial distribution expected from random, uncorrelated gene-calling errors.
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