ROBUST METHOD OF ESTIMATION WITH 'CONTAMINATED' COARSE ERRORS

摘要

The article presents algorithms that make it possible to improve the precision of the predicted values of an output variable. By means of the algorithms it is also possible to ensure that estimators of the coefficients of a mathematical model remain robust if the normal distribution law is violated.