This is a preview. Log in through your library . Abstract The Poisson distribution played a key role in experiments that had a historic role in the development of molecular biology. In particular, the ...

We consider the problem of detecting a 'bump' in the intensity of a Poisson process or in a density. We analyze two types of likelihood ratio-based statistics, which allow for exact finite sample ...

The MCMC procedure in SAS (called PROC MCMC) is particularly designed for Bayesian analysis using the Markov chain Monte Carlo (MCMC) algorithm. The program is sufficiently general to handle very ...

Continuous Variable: can take on any value between two specified values. Obtained by measuring. Discrete Variable: not continuous variable (cannot take on any value between two specified values).