## Abstract In this paper, we consider some approaches to spatioβtemporal modeling of environmental data obtained from an heterogeneous network. Besides discussing modeling details for spatioβtemporal dynamics and calibration of different instruments, we consider crossvalidation issues and extensi
Network bias in air quality monitoring design
β Scribed by Nicola Loperfido; Peter Guttorp
- Publisher
- John Wiley and Sons
- Year
- 2008
- Tongue
- English
- Weight
- 292 KB
- Volume
- 19
- Category
- Article
- ISSN
- 1180-4009
- DOI
- 10.1002/env.951
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β¦ Synopsis
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 wellβknown generalizations of the normal one. Theoretical results are applied to an ozone monitoring network in the state of Washington, USA. Copyright Β© 2008 John Wiley & Sons, Ltd.
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