KaliVeda
Toolkit for HIC analysis
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Fluctuation kernel using negative binomial distribution for use with bayesian_estimator.
The distribution of the observable \(X\) is given by the distribution
\[ f(X) = \frac{(X+n-1)!}{X!(n-1)!} p^{n}(1-p)^{X} \]
with mean value \((1-p)n/p\) and variance \((1-p)n/p^2\).
Definition at line 90 of file bayesian_estimator.h.
#include <bayesian_estimator.h>
Public Member Functions | |
double | operator() (double X, double mean, double reduced_variance) |
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inline |
return probability of \(X\) for given mean value \(\bar{X}\) and reduced variance \(\sigma^2/\bar{X}\).
Definition at line 92 of file bayesian_estimator.h.