Some results on asymptotics in adaptive cluster sampling

L. Di Consiglio and M. Scanu

Statistics & Probability Letters, 2001, vol. 52, issue 2, 189-197

Abstract: In this paper, the asymptotic distribution of the two main estimators used in adaptive cluster sampling is studied. In particular, it is proved that under suitable conditions the Hájek theorem can be applied for both estimators. Finally, these results are supported by simulation studies. Interval estimation and hypothesis testing are the main motivations for the following studies.

Keywords: Hájek; theorem; Horvitz-Thompson; estimator; Hansen-Hurwitz; estimator (search for similar items in EconPapers)
Date: 2001
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Citations: View citations in EconPapers (1)

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