A full Bayesian estimation approach has been used with MCMC sampling implemented in WinBugs with non-informative priors for the regression parameters.
His work in this field began when he used the Poisson distribution to model the number of errors made by students when reading texts.
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The Poisson Distribution depends on only one parameter, λ, and can be interpreted as an approximation to the binomial distribution when the parameter p is a small number.
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A poisson-distributed random variable is usually used to describe the random number of events occuring over a certain time interval.
The system becomes more chaotic as dynamical symmetries are broken by increasing the quantum defect; consequently, the distribution evolves from nearly a Poisson distribution (a) to a Wigner distribution (h).