We use local polynomial fitting to estimate the nonparametric M-regression function for strongly mixing stationary processes $\ { (Y_i ,\underline X _i )\} $ . We establish a strong uniform ...

If jumps exist in the mth-order derivative of the underlying regression function, then an (m + 1)-order polynomial is fitted in a neighborhood of each design point. We then characterize the jump ...