Does Simple Random Sampling Provide Adequate Balance?
理论表明，随着样本量增大，简单随机抽样在比率估计中无法快速实现平衡，导致有限总体总量的置信区间条件覆盖率持续偏低。
SUMMARY Theoretical arguments imply that, as the sample size increases, simple random sampling does not force balance fast enough to provide robust inference for a finite population total using the ratio estimator. An empirical study shows that under simple random sampling, confidence intervals for the total can have conditional coverage probabilities that are persistently awful as the sample size grows.