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However, the analytical results can be used to illustrate the system performance only when the number of tags is small due to the fact that the involved binomial coefficient can be calculated only up to a limited range of N in Matlab.
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An HGT calculation takes O(N) time, assuming binomial coefficients can be calculated in constant time.
The function " signifies the binomial coefficient and can be expressed as "N choose k".
This factor is of a simple combinatorial nature (it is a ratio of two binomial coefficients) and thus can be computed analytically.
Unlike the binomial distribution, the beta binomial can be convex as well as concave.
Negative binomial regression can be viewed as an extension of Poisson regression, and, as for Poisson regression, the exponentiated regression coefficients represent rate ratios (RRs).
Binomial data can be processed more efficiently on MapReduce.
For instance, comparisons between Zero inflated count models with ordinary Poisson, or Zero inflated negative binomial against ordinary negative binomial model can be done using Voung test.
For smaller regions, the binomial probabilities can be calculated directly.
Again Poisson, negative binomial, zero-inflated Poisson or zero-inflated negative binomial regression can be used to model such count data depending on the extent of overdispersion.
Overdispersion in the negative binomial model can be interpreted by unobserved heterogeneity among the observations y.
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