a Mathematics Department, Northeastern University Boston, 567 Lake Hall, Boston, MA 02115, USA
b Statistics Dept., Harvard University, 1 Oxford St., Cambridge, MA 02138, USA
Abstract:
For a one-way mixed Gaussian ANOVA model we prove local asymptotic normality and local asymptotic minimaxity of maximum likelihood estimates (MLE) and of its certain iterative approximations. A geometric rate of convergence in probability is proved for these iterative estimates to MLE. Asymptotically optimal designs for large samples are studied.