In this paper we propose a Bootstrap technique for multistage sampling with large entropy samplingdesigns at each stage. Our method enables easy variance estimates for both linear and non linearstatistics. It consists in a correction of the method originally proposed by Gross (1980) for...

Populations are currently stratified into subpopulations before drawing samples,with a gain in accuracy if the strata are homogeneous for the interest variable.If auxiliary variables are available for each unit, the sampling may be enhancedby balanced sampling if the sampling sizes per stratum...

When auxiliary information is available at the design stage, samples may be selected bymeans of balanced sampling. Deville and Tillé proposed in 2004 a general algorithm toperform balanced sampling, named the cube method. In this paper, we are interested in aparticular case of the cube method...