Locally Asymptotic Minimax Estimation of One Functional of an Unknown Distribution

We consider nonparametric estimation of one functional of an unknown distribution using an independent sample from this distribution. We construct a procedure similar to the Fisher accumulation method, which is asymptotically optimal in the minimax sense in various classes of loss functions.