Article contents
Detecting atypical data in air pollutionstudies by using shorth intervals for regression
Published online by Cambridge University Press: 15 November 2005
Abstract
To validate pollution data, subject-matter experts in Airpl (an organization that maintains a network of air pollution monitoring stations in western France) daily perform visual examinations of the data and check their consistency. In this paper, we describe these visual examinations and propose a formalization for this problem. The examinations consist in comparisons of so-called shorth intervals so we build a statistical test that compares such intervals in a nonparametric regression model. This allows to detect atypical data. A practical application of the test is given.
- Type
- Research Article
- Information
- Copyright
- © EDP Sciences, SMAI, 2005
References
- 1
- Cited by