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.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Caugley, G. (1974) Bias in aerial survey. Journal of Wildlife Management 38: 921–933
Caugley, C., Goddard, J. (1972) Improving the estimate from inaccurate censuses. Journal of Wildlife Management 36: 135–140
Jensen, A.L. (1996) Subsampling with line transects for estimation of animal abundance. Environmetrics 7: 283–289
Routledge, R.D. (1981) The unreliability of population estimates from repeated, incomplete aerial surveys. Journal of Wildlife Management 45: 997–1000
Seber, G.A.F., Thompson, S.K. (1994) Environmental adaptive sampling. In: Patil, G.P., Raom C.R. (eds.) Handbook of statistics, Vol. 12, pp. 201–220
Thompson, S.K. (1992) Sampling. Wiley
Thompson, S.K., Seber, G.A.F. (1994) Detectability in conventional and adaptive sampling. Biometrics 50:712–724
Thompson, S.K., Seber, G.A.F. (1996) Adaptive sampling. Wiley
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Naddeo, S., Pisani, C. Two-stage adaptive cluster sampling. Statistical Methods & Applications 14, 3–10 (2005). https://doi.org/10.1007/BF02511571
Issue Date:
DOI: https://doi.org/10.1007/BF02511571