On a Kernel Approach to a Screening Problem
本文提出了一种基于核平滑的筛选方法，用于提高保留人群中具有特定属性个体的比例至预定水平，并通过参数模型评估了该方法的敏感性，与经验解和估计解进行了比较，最后以医学筛选为例进行了说明。
SUMMARY Screening methods are developed which raise the proportion of individuals possessing an attribute in the retained population to a predetermined level. A specification region for the screening variable is derived by using a kernel smoothing approach. The sensitivity of the procedure is assessed within a range of parametric models. Comparisons are also made with empirical and estimative solutions. The kernel method is illustrated by an example of screening within a medical context.