With coefficient estimates, β̂1 and β̂2, obtained from non-overlapping samples, the variance-covariance matrix of the estimation error will be diagonal. We denote the diagonal entries of this matrix, which represent the variances of the estimation error in the two samples, by σ12 and σ22. This gives us the joint prior distribution