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.
Read more about Minimax Estimator: Problem Setup, Definition, Least Favorable Distribution, Some Examples, Relationship To Robust Optimization, References