## 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 wellโknown gen
โฆ LIBER โฆ
Monitoring Air Quality in Mountains: Designing an Effective Network
โ Scribed by David L. Peterson
- Book ID
- 110236104
- Publisher
- Springer
- Year
- 2000
- Tongue
- English
- Weight
- 345 KB
- Volume
- 64
- Category
- Article
- ISSN
- 0167-6369
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Network bias in air quality monitoring d
โ
Nicola Loperfido; Peter Guttorp
๐
Article
๐
2008
๐
John Wiley and Sons
๐
English
โ 292 KB
The design of cost-effective air quality
โ
E. E. Pickett; R. G. Whiting
๐
Article
๐
1981
๐
Springer
๐
English
โ 847 KB
Interactive design of urban level air qu
โ
Y. Nakamori; Y. Sawaragi
๐
Article
๐
1984
๐
Elsevier Science
๐
English
โ 773 KB
Methodology for designing air quality mo
โ
M. K. Liu; J. Avrin; R. I. Pollack; J. V. Behar; J. L. McElroy
๐
Article
๐
1986
๐
Springer
๐
English
โ 662 KB
An optimal design for air pollution moni
โ
Maria Grazia Pittau; Daniela Romano; Mario C. Cirillo; Renato Coppi
๐
Article
๐
1999
๐
John Wiley and Sons
๐
English
โ 293 KB
๐ 3 views
A new method is presented to determine the optimum number and location of monitoring stations in an air pollution network. The selection of the monitoring stations is based on the spatial representativity of the sites. In particular, the spatial coecient of the correlation between the pollutant conc
A Cost-effective Wireless Sensor Network
โ
Abraham, Sherin; Li, Xinrong
๐
Article
๐
2014
๐
Elsevier
๐
English
โ 766 KB