Assessing positive matrix factorization model fit: a new method to estimate uncertainty and bias in factor contributions at the measurement time scale

Assessing positive matrix factorization model fit: a new method to estimate uncertainty and bias in factor contributions at the measurement time scale

A Positive Matrix Factorization receptor model for aerosol pollution source apportionment was fit to a synthetic dataset simulating one year of daily measurements of ambient PM<sub>2.5</sub> concentrations, comprised of 39 chemical species from nine pollutant sources. A n...

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Bibliographic Details
Main Authors:	J. G. Hemann, G. L. Brinkman, S. J. Dutton, M. P. Hannigan, J. B. Milford, S. L. Miller
Format:	Article
Language:	English
Published:	Copernicus Publications 2009-01-01
Series:	Atmospheric Chemistry and Physics
Online Access:	http://www.atmos-chem-phys.net/9/497/2009/acp-9-497-2009.pdf

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