Abstract
The problem of minimax estimation is considered for the linear multivariate statistically indeterminate observation model with mixed uncertainty. It is shown that in the regular case the minimax estimate is defined explicitly via the solution of the dual optimization problem. For the singular models, the method of dual optimization is developed by means of using the technique of Tikhonov regularization. Several particular cases which are widely used in practice are also examined.
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