ABSTRACT
Error tenns in most statistical models are assumed to be the random variables following the nonnal distribution and, under this assumption, the maximum likelihood estimation is perfonned. In this case, the theoretical validity of the results is guaranteed only when data satisfy the assumption ofnonnality. In the general case ofapplying such a method to actual data, its robustness becomes a problem.
