A review of adaptive cluster sampling: 1990–2003

@article{Turk2005ARO,
  title={A review of adaptive cluster sampling: 1990–2003},
  author={Philip Turk and John J. Borkowski},
  journal={Environmental and Ecological Statistics},
  year={2005},
  volume={12},
  pages={55-94}
}
Adaptive cluster sampling (ACS) is an adaptive sampling scheme which operates under the rule that when the observed value of an initially selected sampling unit satisfies some condition of interest, C, other additional units in some pre-defined accompanying neighborhood are also added to the sample. In turn, if any of these additional units satisfy C, then their corresponding unit neighborhoods are added to the sample as well, and so on. This process stops when no additional units satisfying C… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-10 of 10 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 55 references

The application of adaptive cluster sampling to ecological studies

  • J. A. Brown
  • In Statistics in Ecology and Environmental…
  • 1994
Highly Influential
16 Excerpts

Adaptive cluster sampling: Designs with primary and secondary

  • S. K. Thompson
  • 1991
Highly Influential
20 Excerpts

A review of quadrat-based sampling of rare, geographically clustered populations

  • M. C. Christman
  • Journal of Agricultural, Biological, and…
  • 2000
Highly Influential
9 Excerpts

Analytical expressions for Rao–Blackwell estimators in adaptive cluster sampling

  • M. H. Felix-Medina
  • Journal of Statistical Planning and Inference,
  • 2000
Highly Influential
9 Excerpts

Similar Papers

Loading similar papers…