Robust parameter estimation of the regression function

A robust estimate is obtained for the parameter of the regression function. The errors are assumed to be dependent random quantities and their simultaneous density is assumed to be distribution with a limited weighted norm of the covariance matrix. The normal distribution is proved to be the «worst» distribution of this class. Optimality of the proposed estimate is studied.