On a Family of Sampling Schemes with Inclusion Probability Proportional to Size
提出一类基于平衡不完全区组设计组合性质的抽样方案，适用于任意样本量，具有选择简单、无偏方差估计和估计精度高的优点，并与已知方案进行了效率比较。
A family of sampling schemes with inclusion probability proportional to size is proposed. The schemes are based upon certain combinatorial properties of balanced incomplete block designs and are available for any sample size. Schemes belonging to this family are satisfactory from the point of view of (i) simplicity in selection, (ii) availability of an unbiased variance estimator and (iii) precision of the estimate. The efficiency has been compared empirically with that of some well-known sampling schemes.