Sequential maximum likelihood estimation of the drift parameter of logistic diffusion process

Abstract:

This paper investigates the properties of a sequential maximum likelihood estimator of the unknown drift parameter for a Logistic diffusion process. We derive the explicit formulas for the sequential estimator and its mean squared error. The estimator is showed to be closed, unbiased uniformly normally distributed and strongly consistent. Finally, a numerical example is provided to illustrate our theory.