Accuracy of the box-counting algorithm for numerical computation of the
fractal exponents is investigated. To this end several sample mathematical
fractal sets are analyzed. It is shown that the standard deviation obtained for
the fit of the fractal scaling in the log-log plot strongly underestimates the
actual error. The real computational error was found to have power scaling with
respect to the number of data points in the sample (ntot​). For fractals
embedded in two-dimensional space the error is larger than for those embedded
in one-dimensional space. For fractal functions the error is even larger.
Obtained formula can give more realistic estimates for the computed generalized
fractal exponents' accuracy.Comment: 3 figure