Detection theory

Minimax (sometimes Minmax, MM or saddle point) is a decision rule used in artificial intelligence, decision theory, combinatorial game theory, statistics, and philosophy for minimizing the possible loss for a worst case (maximum loss) scenario. When dealing with gains, it is referred to as "maximin" – to maximize the minimum gain. Originally formulated for several-player zero-sum game theory, covering both the cases where players take alternate moves and those where they make simultaneous moves, it has also been extended to more complex games and to general decision-making in the presence of u

performance of a binary classifier system as its discrimination threshold is varied

analyzed the detection of difficult to detect signals and provides a measure of the quality of the detection

criterion for filtering out radar noise

science and technology of detecting biochemicals and their concentration where trace analysis is concerned