The theory of optimal experiment design [2] has established a set of such objective functions.
maximizing the determi­nant of FIM (aka D-optimality )leads to a design that min­imizes (a bound on) the volume of the error ellipsoid, and minimizing the trace of the inverse FIM (aka A-optimality) leads to a design that minimizes (a bound on) the average mean squared error (MSE).