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Two-stage adaptive cluster sampling

Author

Listed:
  • Stefania Naddeo

    (Università di Siena)

  • Caterina Pisani

    (Università di Siena)

Abstract

Adaptive cluster sampling is usually applied when estimating the abundance of elusive, clustered biological populations. It is commonly supposed that all individuals in the selected area units are detected by the observer, but in many acutal situations this assumption may be highly unrealistic and some individuals may be missed. This paper deals with the problem of handling imperfect detectability in adaptive cluster sampling by using a pure design-based approach. A two-stage adaptive procedure is proposed where the abundance in the selected units is estimated by replicated counts.

Suggested Citation

  • Stefania Naddeo & Caterina Pisani, 2005. "Two-stage adaptive cluster sampling," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 14(1), pages 3-10, February.
    • Handle: RePEc:spr:stmapp:v:14:y:2005:i:1:d:10.1007_bf02511571
    DOI: 10.1007/BF02511571
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