Abstract #302399

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JSM 2003 Abstract #302399
Activity Number: 185
Type: Other
Date/Time: Tuesday, August 5, 2003 : 8:30 AM to 10:20 AM
Sponsor: ASA
Abstract - #302399
Title: Introduction to Adaptive Sampling
Author(s): Steven K. Thompson*+
Companies: Pennsylvania State University
Address: Dept. of Statistics, University Park, PA, 16802-2111,
Keywords:
Abstract:

Adaptive sampling designs are those in which the procedure for selecting the sample depends on what is encountered during the survey. For example, in surveys of spatially clustered health events or of rare, clustered animal populations, whenever sufficiently abundance is observed in any unit in the sample, neighboring units may be adaptively added to the sample. In studies of hidden human populations, such as injecting drug users and others at high risk for HIV/AIDS, social connections may be adaptively followed from individuals in the sample to add more individuals from the hidden population to the sample. Similarly, in surveys involving the Internet, links may be followed from one site to another in obtaining a sample. For a given situation, and especially for populations that are inherently difficult to sample by conventional means, the most effective sampling strategy may be an adaptive one. Recent developments have made new methods available for adaptive strategies in spatial, network, and other settings. A variety of adaptive and link-tracing sampling designs and inference methods will be introduced in this talk.

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