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Ratio estimators in adaptive cluster sampling

โœ Scribed by Arthur L. Dryver; Chang-Tai Chao

Publisher
John Wiley and Sons
Year
2007
Tongue
English
Weight
133 KB
Volume
18
Category
Article
ISSN
1180-4009

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๐Ÿ“œ SIMILAR VOLUMES

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โœ L. Di Consiglio; M. Scanu ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 150 KB

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 Hรƒ ajek theorem can be applied for both estimators. Finally, these results are supported by simulation studies. Interval

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In adaptive cluster sampling designs, neighbouring units are added to the sample whenever the value of the variable of interest satisfies a chosen criterion. Commonly, the criterion consists of a fixed, prespecified value, so that additional units are added to the sample whenever a unit is observed