Minimax estimator

In statistical decision theory, where we are faced with the problem of estimating a deterministic parameter (vector) from observations
an estimator (estimation rule)
is called minimax if its maximal risk is minimal among all estimators of
. In a sense this means that
is an estimator which performs best in the worst possible case allowed in the problem.