Abstract
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.
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