Optimal designs for regression models with autoregressive errors

In the one-parameter regression model with AR(1)(1) and AR(2)(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.