23. Adaptive Sampling Designs

  1. Steven K. Thompson

Published Online: 10 FEB 2012

DOI: 10.1002/9781118162934.ch23

Sampling, Third Edition

Sampling, Third Edition

How to Cite

Thompson, S. K. (2012) Adaptive Sampling Designs, in Sampling, Third Edition, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9781118162934.ch23

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 sampling designs;
  • estimators

Summary

Adaptive sampling refers to sampling designs in which the procedure for selecting sites or units to be included in the sample may depend on values of the variable of interest observed during the survey. The primary purpose of adaptive sampling designs is to take advantage of population characteristics to obtain more precise estimates of population abundance or density, for a given sample size or cost, than is possible with conventional designs. Adaptive selection procedures may introduce biases into conventional estimators, so that estimators and estimators of variance that are unbiased under the adaptive designs are needed. Adaptive sampling methods offer the potential to give large increases in efficiency for some populations. Sampling designs in which the selection procedure depends on observed values of the variable of interest have been of theoretical interest to statisticians for some time.

Controlled Vocabulary Terms

Adaptive sampling designs; estimator; sequential sampling