 Minimum Fisher information

Minimum Fisher information refers to the minimal amount of information that can be extracted from a statistical model regarding an unknown parameter. In statistics, the Fisher information is a way of measuring the amount of information that an observable random variable carries about a parameter upon which the likelihood function depends.