Restricted adaptive cluster sampling

被引:63
作者
Brown, JA [1 ]
Manly, BJF [1 ]
机构
[1] Univ Otago, Dept Math & Stat, Dunedin, New Zealand
关键词
bootstrap; sample effort; sequential sampling;
D O I
10.1023/A:1009607403647
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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 important 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.
引用
收藏
页码:49 / 63
页数:15
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