ASYMPTOTIC PROPERTIES OF ESTIMATES FOR UNKNOWN PARAMETERS OF ALMOST PERIODIC FUNCTIONS UNDER GAUSSIAN NOISE

摘要

Sufficient conditions of strong consistency are established. Asymptotic distributions of estimates for unknown parameters of an almost periodic function are found in a nonlinear regression model with continuous time and random noise. The noise is assumed to be a weakly dependent Gaussian stationary process.