Interval Estimation of Location Difference with Incomplete Data
针对两个相关变量均有缺失数据的情形，提出了一种渐近分布自由的置信区间来估计位置差异，其置信限形式明确且易于计算，比已知参数区间估计更稳健。
An asymptotically distribution-free confidence interval for the location difference of two correlated variables with incomplete data on both responses is proposed. The confidence limit has an explicit form and can be easily obtained. The new procedure is also shown to be more robust than other known parametric interval estimators.