Journal Article

Adaptive cluster sampling with networks selected without replacement


in Biometrika

Published on behalf of Biometrika Trust

Volume 84, issue 1, pages 209-219
Published in print March 1997 | ISSN: 0006-3444
Published online March 1997 | e-ISSN: 1464-3510 | DOI:
Adaptive cluster sampling with networks selected without replacement

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In the adaptive cluster design introduced by Thompson (1990), a finite population of units under investigation is partitioned into networks on the basis of a specdied condition for adding neighbourhoods to a sampled unit. An initial sample of units is taken and a network may be sampled more than once. In this paper, we introduce a modification of the design in which networks are sampled only once. Two unbiased estimators are considered and the Rao-Blackwell theorem is used to improve them in terms of efficiency. The various estimators are compared using two examples.

Keywords: Adaptive cluster sampling; Murthy's indordered estimator; Networks without replacement; Raj estimator; Rao-Blackwell method

Journal Article.  0 words. 

Subjects: Probability and Statistics

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