Does Simple Random Sampling Provide Adequate Balance?
简单随机抽样能否提供充分的平衡？
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.