Maximum Likelihood Estimation in the Birth-and-Death Process

Maximum likelihood estimation of the parameters and of a simple (linear) birth-and-death process observed continuously over a fixed time interval is studied. Asymptotic distributions for large initial populations and for large periods of observation are derived and some nonstandard results appear. The result problem of estimation from the discrete skeleton of the process is also discussed.