24. Adaptive Cluster Sampling

  1. Steven K. Thompson

Published Online: 10 FEB 2012

DOI: 10.1002/9781118162934.ch24

Sampling, Third Edition

Sampling, Third Edition

How to Cite

Thompson, S. K. (2012) Adaptive Cluster Sampling, in Sampling, Third Edition, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9781118162934.ch24

Author Information

  1. Simon Fraser University, Canada

Publication History

  1. Published Online: 10 FEB 2012
  2. Published Print: 23 FEB 2012

Book Series:

  1. Wiley Series in Probability and Statistics

Book Series Editors:

  1. Walter A. Shewhart and
  2. Samuel S. Wilks

ISBN Information

Print ISBN: 9780470402313

Online ISBN: 9781118162934

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Keywords:

  • adaptive cluster sampling;
  • conventional sampling;
  • estimators;
  • Hansen–Hurwitz estimator;
  • Horvitz–Thompson estimator

Summary

In this chapter, the simplest adaptive cluster sampling designs are considered: namely, those in which the initial sample is selected by simple random sampling with or without replacement. The results and examples of the chapter indicate that for some populations—particularly for rare, clustered populations—the researchers’ inclinations are well justified in that manyfold increases in precision of estimates may be obtained with the adaptive strategy, compared to the precision of a conventional design of equivalent sample size. The estimators given in the chapter are design-unbiased, that is, the unbiasedness is based on the way the sample is selected rather than on assumptions about the population. The estimators developed for adaptive cluster sampling are related to the Hansen–Hurwitz and Horvitz–Thompson estimators used with unequal probability sampling designs such as network sampling and line-intercept sampling.

Controlled Vocabulary Terms

Adaptive cluster sampling; cluster sampling