  Monte-Carlo simulations are routinely used for estimating the scaling
exponents of complex systems. However, due to finite-size effects, determining
the exponent values is often difficult and not reliable. Here we present a
novel technique of dealing with the problem of finite-size scaling. This new
method allows not only to decrease the uncertainties of the scaling exponents,
but makes it also possible to determine the exponents of the asymptotic
corrections to the scaling laws. The efficiency of the technique is
demonstrated by finding the scaling exponent of uncorrelated percolation
cluster hulls.
