Assessing the effect of clustered and biased multi-stage sampling

Menezes, Raquel and Tawn, Jonathan (2009) Assessing the effect of clustered and biased multi-stage sampling. Environmetrics, 20 (4). pp. 445-459. ISSN 1180-4009

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Abstract

We propose a method for detecting biased multi-stage sampling of spatial data and a method to adjust for biased clustering of samples. We assess the effect of these methods for the analysis of radioactivity contamination data from Rongelap island, with the scientific problem being the estimation of the maximum level of radioactivity over the island. These data were collected over a two-stage process of uniform and clustered samples, which may have an impact on conclusions from a standard analysis that does not account for either of these features.

Item Type:
Journal Article
Journal or Publication Title:
Environmetrics
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2300/2302
Subjects:
ID Code:
177752
Deposited By:
Deposited On:
18 Oct 2022 10:45
Refereed?:
Yes
Published?:
Published
Last Modified:
22 Nov 2022 11:57