Аннотация:
Classical multivariate regression problem with factorial design of experiments will be considered. Recent applied problems require more flexible smoothing capability than standard algorithms provide. Also there is a strict requirement for computational efficiency. These concerns lead to developing of new smoothing algorithms. Asymptotic properties of such algorithms will be studied.
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