Two-stage adaptive cluster sampling |
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Authors: | Stefania Naddeo Caterina Pisani |
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Institution: | (1) Dipartimento di Metodi Quantitativi, Università di Siena, Italy |
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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. |
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Keywords: | Adaptive cluster sampling imperfect detectability two-stage estimation replicated counts |
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