Abstract
Problems of the best estimation of unknown parameters of a linear regression in the Hilbert space in the presence of various prior information are investigated. Optimal designs for a class of designs often encountered in applications are constructed.
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Literature cited
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Translated from Ukrainskii Matematicheskii Zhurnal, Vol. 43, No. 5, pp. 688–696, May, 1991.
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Zaigraev, A.Y. Estimation of unknown parameters of linear regression in the presence of prior information. Ukr Math J 43, 640–648 (1991). https://doi.org/10.1007/BF01058553
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DOI: https://doi.org/10.1007/BF01058553