The Estimation and Interpolation of Inequality Measures
批判性地考察了从分组数据估计不平等测度的不同方法，并支持使用简单的“分裂直方图”插值技术和“⅓/⅔规则”进行点估计。
Alternative methods of computing estimates of inequality measures from grouped data are critically examined in terms of their theoretical and empirical properties. The use of a simple "split-histogram" technique of interpolation is explained and supported. Theoretical and empirical support is also provided for the "⅓/⅔ rule"—a simple computational procedure for a point estimate of an inequality measure derived from its standard grouping bounds.