Statistical Considerations in the Interpretation of Size-Resolved Particulate Mass Data
Open Access
- 1 May 1998
- journal article
- research article
- Published by Taylor & Francis in Journal of the Air & Waste Management Association
- Vol. 48 (5) , 454-458
- https://doi.org/10.1080/10473289.1998.10463699
Abstract
Random measurement error can account for a substantial fraction of the observed variability in coarse particle mass concentrations. This noise decreases the spatial correlation of coarse particle concentrations, tending to obscure any regional coherence in their variation. It also works to obscure associations between coarse particles and the effects to which they contribute. Multiple regressions can misattribute coarse effects to fine particles if the fine measurement is sufficiently more precise.Keywords
This publication has 1 reference indexed in Scilit:
- Measurement Error ModelsPublished by Wiley ,1987