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Restricted adaptive cluster sampling

Authors
  • Brown, J. A.1
  • Manly, B. J. F.1
  • 1 Otago University, Department of Mathematics and Statistics, Dunedin, New Zealand , Dunedin
Type
Published Article
Journal
Environmental and Ecological Statistics
Publisher
Kluwer Academic Publishers
Publication Date
Mar 01, 1998
Volume
5
Issue
1
Pages
49–63
Identifiers
DOI: 10.1023/A:1009607403647
Source
Springer Nature
Keywords
License
Yellow

Abstract

Adaptive cluster sampling can be a useful design for sampling rare and patchy populations. With this design the initial sample size is fixed but the size of the final sample (and total sampling effort) cannot be predicted prior to sampling. For some populations the final sample size can be quite variable depending on the level of patchiness. Restricted adaptive cluster sampling is a proposed modification where a limit is placed on the sample size prior to sampling and quadrats are selected sequentially for the initial sample size. As a result there is less variation in the final sample size and the total sampling effort can be predicted with some certainty, which is impor- tant for many ecological studies. Estimates of density are biased with the restricted design but under some circumstances the bias can be estimated well by bootstrapping. © Rapid Science 1998

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