An Empirical Study of the Ratio Estimator and Estimators of its Variance

Abstract This paper reports results from an empirical study of the ratio estimator for a finite population total. From each of six real populations, 1,000 simple random samples, 1,000 restricted random samples, and three nonrandom samples of size 32 are drawn. Performance of the ratio estimator and of five estimators of its variance is compared with theoretical results generated using (a) prediction (superpopulation) models and (b) probability sampling distributions. The results, presented graphically, show that theory based on prediction models can reveal relationships that are essential in making inferences, but that are concealed in probability sampling analyses.

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