Abstract
The question of bias and error due to finite sample size is considered, and it is suggested that these effects may be computed by replacing the excitation function with a number of independent cross sections. It is argued that the effective number of independent cross sections is given by n=(ΔEπΓ0)+1 as long as the energy range ΔE is not too great. The results of some Monte Carlo calculations are also given.