Sentence examples for model the count from inspiring English sources

These include a binary logit regression to identify zero outcomes associated with count data and NBR to model the count process.

The second part then uses a Poisson regression to model the count of years for individual belonging to the group that may have a positive outcome.

The statistical analyses used distributed-lag Poisson Generalized Models [ 26] to model the count data.

Because it was not, we used a Poisson, rather than a negative binomial, distribution to model the count outcome variables.

The 'logistic-distance Poisson' spatial model is used to explicitly model the count of synapses, c, between two neurons.

Therefore, negative binomial regression was introduced to model the count data with overdispersion (that is, the variance is greater then the mean) [ 16, 17].

For each spectral model, the counts-to-energy conversion factor is computed using effective area curves derived for recent AR Lac observations (ObsID 18387 for HRC-I, and ObsID 18366 for HRC-S).

If we model the counts in each cell as simply the sum of each log of the probabilities of each factor, the appropriate statistical model is C1+C2+C3.

In principle, it is preferable to model the counts as a mixture of negative binomial distributions to model over dispersion of the count data.

In the negative binomial model, the counts Y follow a Poisson distribution, where λ is a random variable with a gamma distribution.

In this model, the counts of changes in the sequences are modeled as a Poisson variable and the two main effects that we are interested in are as follows: The effect of natural selection acting on a given gene.