  The continuous time Markov process considered in this paper belongs to a
class of population models with linear growth and catastrophes. There, the
catastrophes happen at the arrival times of a Poisson process, and at each
catastrophe time, a randomly selected portion of the population is eliminated.
For this population process, we derive an asymptotic upper bound for the
maximum value and prove the local large deviation principle.
