期刊
ENVIRONMENTAL AND ECOLOGICAL STATISTICS
卷 12, 期 1, 页码 55-94出版社
SPRINGER
DOI: 10.1007/s10651-005-6818-0
关键词
bootstrapping; cluster sampling; detectability; double sampling; Rao-Blackwell estimator; stratified sampling
Adaptive cluster sampling (ACS) is an adaptive sampling scheme which operates under the rule that when the observed value of an initially selected sampling unit satisfies some condition of interest, C, other additional units in some pre-defined accompanying neighborhood are also added to the sample. In turn, if any of these additional units satisfy C, then their corresponding unit neighborhoods are added to the sample as well, and so on. This process stops when no additional units satisfying C are encountered. This paper will provide a review of the major developments and issues in ACS since its introduction by Thompson (1990) [Journal of the American Statistical Association, 85, 1050-1059]. (c) 2005 Springer Science + Business Media, Inc.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据