Comparison of Positive Matrix Factorization and Multilinear Engine for the source apportionment of particulate pollutants
- 28 April 2003
- journal article
- Published by Elsevier in Chemometrics and Intelligent Laboratory Systems
- Vol. 66 (1) , 15-28
- https://doi.org/10.1016/s0169-7439(02)00160-0
Abstract
No abstract availableKeywords
This publication has 18 references indexed in Scilit:
- Receptor Modeling Assessment of Particle Total Exposure Assessment Methodology DataEnvironmental Science & Technology, 1999
- Locations and preferred pathways of possible sources of Arctic aerosolAtmospheric Environment, 1999
- Mixed multiway analysis of airborne particle composition dataJournal of Chemometrics, 1999
- Atmospheric aerosol over Alaska: 2. Elemental composition and sourcesJournal of Geophysical Research: Atmospheres, 1998
- A weighted non-negative least squares algorithm for three-way ‘PARAFAC’ factor analysisChemometrics and Intelligent Laboratory Systems, 1997
- Source identification of bulk wet deposition in Finland by positive matrix factorizationAtmospheric Environment, 1995
- Positive matrix factorization: A non‐negative factor model with optimal utilization of error estimates of data valuesEnvironmetrics, 1994
- Analysis of different modes of factor analysis as least squares fit problemsChemometrics and Intelligent Laboratory Systems, 1993
- Current factor analysis receptor models are ill-posedAtmospheric Environment (1967), 1987
- Estimates of the contributions of sources to inhalable particulate concentrations in detroitAtmospheric Environment (1967), 1985