Novel method for producing uncertainty-weighted averages from a time series of ambient air measurements Online publication date: Fri, 14-May-2010
by Richard J.C. Brown
International Journal of Environment and Pollution (IJEP), Vol. 41, No. 3/4, 2010
Abstract: A novel method for producing uncertainty-weighted averages from time series of ambient air measurements is presented. This method uses robust regression to establish a relationship between the measured mass concentration values and their uncertainties, and then uses the residuals of individual points from this relationship to calculate a weighting parameter. This parameter can then be used to produce an uncertainty-weighted mean for the group of measurement results used to establish the relationship between the measured values and their uncertainties, or a subset of these, as required. Examples are presented of the method's application to real and synthetic data sets.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Environment and Pollution (IJEP):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com