Abstract

When sampling from a finite population there is often auxiliary information available on unit level. Such information can be used to improve the estimation of the target parameter. We show that probability samples that are well spread in the auxiliary space are balanced, or approximately balanced, on the auxiliary variables. A consequence of this balancing effect is that the Horvitz-Thompson estimator will be a very good estimator for any target variable that can be well ap- proximated by a Lipschitz continuous function of the auxiliary variables. Hence we give a theoretical motivation for use of well spread probability samples. Our conclusions imply that well spread samples, combined with the Horvitz- Thompson estimator, is a good strategy in a varsity of situations.

Keywords

Balanced Sample, Local Pivotal Method, Spatial Balance, Spatially Correlated Poisson Sampling, Voronoi Polytopes

Published in

Open Journal of Statistics
2013, Volume: 3, number: 1, pages: 36-41

SLU Authors

• Grafström, Anton

  • Department of Forest Resource Management, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Probability Theory and Statistics


Publication identifier

DOI: https://doi.org/10.4236/ojs.2013.31005

Permanent link to this page (URI)

https://res.slu.se/id/publ/41262