Chi-Plots for Assessing Dependence
提出一种与散点图配合使用的图形方法，用于探究两个变量在样本中可能存在的关联，在独立条件下图形近似水平，不同关联形式产生特征模式。
This paper presents a graphical method to be used, in conjunction with a scatterplot, to investigate possible association of two variates as manifested in a sample of bivariate measurements. The method is designed so that the plot is approximately horizontal under independence, and under various forms of association it produces corresponding characteristic patterns. Examples given include application to study of regression residuals, dependence of two spatial point processes, serial association of time series, and comparison of two time series.