  We present a new dynamic off-equilibrium method for the study of continuous
transitions, which represents a dynamic generalization of the usual equilibrium
cumulant method. Its main advantage is that critical parameters are derived
from numerical data obtained much before equilibrium has been attained.
Therefore, the method is particularly useful for systems with long
equilibration times, like spin glasses. We apply it to the three-dimensional
Ising spin-glass model, obtaining accurate estimates of the critical exponents
and of the critical temperature with a limited computational effort.
