Bias of ml and reml estimators in regression models with arma errors

Data are simulated for a regression model in which the errors have an autoregressive, moving average structure. The parameters of this structure together with the error variance are estimated using both MLand REML techniques. Average biases of estimators from each technique are reported for a range of true parameter values.