In the one-parameter regression model with AR(1) and AR(2) errors we find explicit expressions
and a continuous approximation of the optimal discrete design for the signed
least square estimator. The results are used to derive the optimal variance of the best linear
estimator in the continuous time model and to construct efficient estimators and corresponding
optimal designs for finite samples.