Robustness of the best linear unbiased estimator and predictor in linear regression models
František Štulajter (1990)
Aplikace matematiky
Similarity:
If is shown that in linear regression models we do not make a great mistake if we substitute some sufficiently precise approximations for the unknown covariance matrix and covariance vector in the expressions for computation of the best linear unbiased estimator and predictor.