Optimal Designs in Random Coefficient Linear Regression Models

In this paper we consider a random coefficients regression model in the context of repeated measurements. The measurements are taken at consecutive points for several experimental units, and the total number of measurements have a fixed upper bound. Observations on the same unit at different points will be correlated while observations on two differents units are uncorrelated. We present optimal designs for slope parameter estimation and prediction.