Journal Article

Adaptive cluster sampling with networks selected without replacement

MOHAMMAD SALEHI M. and GEORGE A. F. SEBER

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: http://dx.doi.org/10.1093/biomet/84.1.209
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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