Sequential Estimation Functions in Stochastic Population Processes

Sequential, i.e., randomly stopped estimation functions in a class of continuous time stochastic population models are considered. The class includes finite, irreducible Markov processes. Three types of efficient sequential estimation functions are discussed and their asymptotic behaviour is investigated. The main tools of analysis are taken from point process theory.

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