Journal Article

Adaptive cluster double sampling

Martín H. Félix-Medina and Steven K. Thompson

in Biometrika

Published on behalf of Biometrika Trust

Volume 91, issue 4, pages 877-891
Published in print December 2004 | ISSN: 0006-3444
Published online December 2004 | e-ISSN: 1464-3510 | DOI: http://dx.doi.org/10.1093/biomet/91.4.877
Adaptive cluster double sampling

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We present a multi-phase variant of adaptive cluster sampling which allows the sampler to control the number of measurements of the variable of interest. A first-phase sample is selected using an adaptive cluster sampling design based on an inexpensive auxiliary variable associated with the survey variable. Then the network structure of the adaptive cluster sample is used to select an ordinary one-phase or two-phase subsample of units and the values of the survey variable associated with those units are recorded. The population mean is estimated by either a regression-type estimator or a Horvitz–Thompson-type estimator. The results of a simulation study show good performance of the proposed design, and suggest that in many real situations this design might be preferred to the ordinary adaptive cluster sampling design.

Keywords: Adaptive cluster sampling; Double sampling; Finite population; Horvitz–Thompson estimator; Multi-phase sampling; Regression estimator

Journal Article.  0 words. 

Subjects: Probability and Statistics

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