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Some results on asymptotics in adaptive cluster sampling

โœ Scribed by L. Di Consiglio; M. Scanu

Publisher
Elsevier Science
Year
2001
Tongue
English
Weight
150 KB
Volume
52
Category
Article
ISSN
0167-7152

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โœฆ Synopsis

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 estimation and hypothesis testing are the main motivations for the following studies.

๐Ÿ“œ SIMILAR VOLUMES

ADAPTIVE CLUSTER SAMPLING BASED ON ORDER
ADAPTIVE CLUSTER SAMPLING BASED ON ORDER STATISTICS
โœ STEVEN K. THOMPSON ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 691 KB

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