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Spatially correlated Poisson sampling

Grafström, Anton (2012). Spatially correlated Poisson sampling. Journal of statistical planning and inference. 142:1, 139-147
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Official URL: http://dx.doi.org/10.1016/j.jspi.2011.07.003

Abstract

A new method for sampling from a finite population that is spread in one, two or more dimensions is presented. Weights are used to create strong negative correlations between the inclusion indicators of nearby units. The method can be used to produce unequal probability samples that are well spread over the population in every dimension, without any spatial stratification. Since the method is very general there are numerous possible applications, especially in sampling of natural resources where spatially balanced sampling has proven to be efficient. Two examples show that the method gives better estimates than other commonly used designs.

Authors/Creators:Grafström, Anton
Title:Spatially correlated Poisson sampling
Series/Journal:Journal of statistical planning and inference (0378-3758)
Year of publishing :January 2012
Volume:142
Number:1
Page range:139-147
Publisher:Elsevier
ISSN:0378-3758
Language:English
Publication Type:Journal article
Refereed:Yes
Article category:Scientific peer reviewed
Version:Accepted version
Full Text Status:Public
Agris subject categories.:U Auxiliary disciplines > U10 Mathematical and statistical methods
X Agricola extesions > X10 Mathematics and statistics
Subjects:(A) Swedish standard research categories 2011 > 1 Natural sciences > 101 Mathematics > 10106 Probability Theory and Statistics
Keywords:Correlated poisson sampling, Generalized Random-Tessellation Stratified design, Negative correlation, Spatial sampling, Spatially balanced sampling, Unequal probability sampling
URN:NBN:urn:nbn:se:slu:epsilon-e-777
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-e-777
Additional ID:
Type of IDID
DOI10.1016/j.jspi.2011.07.003
ID Code:9318
Department:(S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management
Deposited By: Skogsbiblioteket Umeå
Deposited On:13 Dec 2012 11:29
Metadata Last Modified:02 Dec 2014 10:53

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