Abstract: Balanced sampling has received some attention in recent years. There exists a number of procedures leading to a balanced or approximately balanced sample. In this paper, we examine the design-based properties of several estimation procedures under balanced sampling. The results of an extensive simulation study that compares different estimators are presented.

Key words and phrases: Cube algorithm, design-based inference, greg estimator, inclusion probability, Monte Carlo approximation, rejective sampling.