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Название: A characterization of admissible linear estimators of fixed and random effects in linear models
Авторы: Synówka-Bejenka E., Zontek S.
In the paper the problem of simultaneous linear estimation of fixed and random effects in the mixed linear model is considered. A necessary and sufficient conditions for a linear estimator of a linear function of fixed and random effects in balanced nested and crossed classification models to be admissible are given.