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Assessing the effect of clustered and biased multi-stage sampling

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Assessing the effect of clustered and biased multi-stage sampling. / Menezes, Raquel; Tawn, Jonathan.
In: Environmetrics, Vol. 20, No. 4, 30.06.2009, p. 445-459.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Menezes, R & Tawn, J 2009, 'Assessing the effect of clustered and biased multi-stage sampling', Environmetrics, vol. 20, no. 4, pp. 445-459. https://doi.org/10.1002/env.942

APA

Menezes, R., & Tawn, J. (2009). Assessing the effect of clustered and biased multi-stage sampling. Environmetrics, 20(4), 445-459. https://doi.org/10.1002/env.942

Vancouver

Menezes R, Tawn J. Assessing the effect of clustered and biased multi-stage sampling. Environmetrics. 2009 Jun 30;20(4):445-459. Epub 2008 Aug 27. doi: 10.1002/env.942

Author

Menezes, Raquel ; Tawn, Jonathan. / Assessing the effect of clustered and biased multi-stage sampling. In: Environmetrics. 2009 ; Vol. 20, No. 4. pp. 445-459.

Bibtex

@article{b63cf83cf90443e59b8b52da8315ecbe,
title = "Assessing the effect of clustered and biased multi-stage sampling",
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.",
keywords = "Biased sampling, Clustered data, Multi-stage sampling, Radioactivity data, Variogram estimation",
author = "Raquel Menezes and Jonathan Tawn",
year = "2009",
month = jun,
day = "30",
doi = "10.1002/env.942",
language = "English",
volume = "20",
pages = "445--459",
journal = "Environmetrics",
issn = "1180-4009",
publisher = "John Wiley and Sons Ltd",
number = "4",

}

RIS

TY - JOUR

T1 - Assessing the effect of clustered and biased multi-stage sampling

AU - Menezes, Raquel

AU - Tawn, Jonathan

PY - 2009/6/30

Y1 - 2009/6/30

N2 - 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.

AB - 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.

KW - Biased sampling

KW - Clustered data

KW - Multi-stage sampling

KW - Radioactivity data

KW - Variogram estimation

U2 - 10.1002/env.942

DO - 10.1002/env.942

M3 - Journal article

AN - SCOPUS:67650118806

VL - 20

SP - 445

EP - 459

JO - Environmetrics

JF - Environmetrics

SN - 1180-4009

IS - 4

ER -