Admissible decision rule

In statistical decision theory, a decision rule is admissible if no other rule dominates it, meaning no alternative rule has uniformly smaller or equal risk for all parameter values with strictly smaller risk for at least one. Inadmissible rules are suboptimal and can always be replaced by a superior rule.