Two-Phase Sampling of Tax Records for Business Surveys
描述了一种两阶段抽样设计，用于从企业税务记录中抽样，以估算加拿大年度经济产出。第一阶段获取分类信息，用于第二阶段的分层抽样，并采用伯努利抽样。在多重精度约束下，通过凸规划求解最优分配，并比较了近似方法与最优方法的效率。
A two-phase design used to sample tax records of businesses to obtain annual estimates of Canadian economic production is described. Classification information obtained from units in the first-phase sample is used during stratification for selection of the second-phase sample. Bernoulli sampling is employed. Given multiple precision constraints, optimal allocation requires solution of a convex programming problem. An approximate method is described and compared to the optimal approach. The efficiency of the two-phase design relative to one-phase alternatives is examined.