Before revision:  We also compare the performance of MFDMA with MFDFA, and report that MFDMA is superior to MFDFA when apply them to analysis the properties of one-dimensional and two-dimensional multifractal measures .
After revision:  In addition, the backward MFDMA method has the best performance, which provides the most accurate estimates of the scaling exponents with lowest error bars, while the centered MFDMA method has the worse performance. It is found that the backward MFDMA algorithm also outperforms the multifractal detrended fluctuation analysis (MFDFA). The one-dimensional backward MFDMA method is applied to analyzing the time series of Shanghai Stock Exchange Composite Index and its multifractal nature is confirmed .