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In this paper, we developed a novel method based on binomial distribution and radial basis function network to predict the types of ion-channel targeted conotoxins.
In the remaining part of the paper, we call our model the binomial model, since it is mainly based on binomial distribution.
The distribution of the mutations was based on binomial distribution.
A simple mathematical model was developed based on binomial distribution.
We estimated the prevalence of the birth defects with 95% confidence intervals based on binomial distribution.
A random effects model used an exact likelihood method in which within-study variance was based on binomial distribution [ 36].
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The logit models are based on binomial distributions (z-scores, generalized linear mixed model, GLMM).
Again, logit models based on binomial distributions (z-scores, Generalized Linear Mixed Model) were used to model binary decisions [33] by our listener responses (i.e., the listeners' /ɡ/ or /k/ response).
Confidence intervals for proportions of detected samples were set at 95% and based on binomial distributions.
The exact CIs were calculated based on binomial distributions.
Ninety-five perconfidencedence intervals (95% CI) for proportions were calculated based on binomial distributions.
More suggestions(18)
based on binomial test
based on binomial theory
based on selective distribution
based on predetermined distribution
based on geographical distribution
based on binomial sampling
based on allelic distribution
based on binomial estimation
based on binomial analysis
based on square distribution
based on content distribution
based on random distribution
based on binomial probability
based on centralized distribution
based on binomial mixture
based on binomial formulation
based on intrahousehold distribution
based on geographic distribution
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