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Network bias in air quality monitoring design
Author(s) -
Loperfido Nicola,
Guttorp Peter
Publication year - 2008
Publication title -
environmetrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.68
H-Index - 58
eISSN - 1099-095X
pISSN - 1180-4009
DOI - 10.1002/env.951
Subject(s) - air quality index , econometrics , environmental science , computer science , statistics , quality (philosophy) , data mining , mathematics , meteorology , geography , physics , quantum mechanics
Abstract We develop a statistical model for the bias resulting from designing an air quality monitoring network with the aim of finding large values, and then using the data obtained in studies of health effects of air quality. Appropriate conditional distributions are shown to be well‐known generalizations of the normal one. Theoretical results are applied to an ozone monitoring network in the state of Washington, USA. Copyright © 2008 John Wiley & Sons, Ltd.