DS-optimal designs for random coefficient first-degree regression model with heteroscedastic errors

Optimal design problems for random coefficient regression model with heteroscedastic errors are considered. Under continuous design setting, conditions for existence of 2-point design that is as good as a given k-point design and for existence of DS-optimal design are established.