The Stabilized Probability Plot
提出了一种新的概率图——稳定化概率图，其绘制点的方差近似相等，增强了可解释性；并基于此定义了新的拟合优度统计量DSP，用于构建QQ图、PP图和新图的接受区域，减少主观性。
The stabilized probability plot is introduced. An attractive feature of the plot that enhances its interpretability is that the variances of the plotted points are approximately equal. This prompts the definition of a new and powerful goodness-of-fit statistic DSP which, analogous to the standard Kolmogorov–Smirnov statistic D, is defined to be the maximum deviation of the plotted points from their theoretical values. Using either D or Dsp it is shown how to construct acceptance regions for QQ, pp and the new plots. Acceptance regions can help remove much of the subjectivity from the interpretation of these probability plots.