Discarding or downweighting high-noise variables in factor analytic models
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Composition and sources of fine particulate matter across urban and rural sites in the Midwestern United StatesSpatial/temporal variations and source apportionment of VOCs monitored at community scale in an urban areaUnderstanding atmospheric organic aerosols via factor analysis of aerosol mass spectrometry: a reviewSpatial/temporal variations of elemental carbon, organic carbon, and trace elements in PM10 and the impact of land-use patterns on community air pollution in Paterson, NJ.A model-based approach for imputing censored data in source apportionment studiesComposition and sources of fine and coarse particles collected during 2002-2010 in Boston, MA.Aerosol particulate matter in the Baltimore metropolitan area: Temporal variation over a six-year period.Evidence of a reduction in cloud condensation nuclei activity of water-soluble aerosols caused by biogenic emissions in a cool-temperate forest.Source Apportionment of PM10-Bound Polycyclic Aromatic Hydrocarbons by Positive Matrix Factorization in Córdoba City, Argentina.PM10 source apportionment in a Swiss Alpine valley impacted by highway traffic.Source apportionment of the ionic components in precipitation over an urban region in Western India.Manganese in the urban atmosphere: identifying anomalous concentrations and sources.Source apportionment of fine particles in Washington, DC, utilizing temperature-resolved carbon fractions.An inter-comparison of PM10 source apportionment using PCA and PMF receptor models in three European sites.Source apportionment of PM(10) and PM(2.5) at multiple sites in the strait of Gibraltar by PMF: impact of shipping emissions.Assessment of the sources of suspended particulate matter aerosol using US EPA PMF 3.0.Source apportionment of total suspended particulates in an arid area in southwestern Iran using positive matrix factorization.PM₁₀ source apportionment in the surroundings of the San Vicente del Raspeig cement plant complex in southeastern Spain.Source apportionment and pollution evaluation of heavy metals in water and sediments of Buriganga River, Bangladesh, using multivariate analysis and pollution evaluation indices.Chemical characterization of PM1.0 aerosol in Delhi and source apportionment using positive matrix factorization.Source identifications of airborne fine particles using positive matrix factorization and U.S. Environmental Protection Agency positive matrix factorization.Characterization of Ambient Fine Particles in the Northwestern Area and Anchorage, AlaskaSource identification of airborne PM2.5at the St. Louis-Midwest SupersiteSource Investigation for Ambient PM2.5in Indianapolis, INFactor Analysis of Seattle Fine ParticlesObservational evidence for pollution-influenced selective uptake contributing to biogenic secondary organic aerosols in the southeastern U.SOrganic aerosol composition and sources in Pasadena, California, during the 2010 CalNex campaignSubmicron aerosol analysis and organic source apportionment in an urban atmosphere in Pearl River Delta of China using high-resolution aerosol mass spectrometryApportionment of Ambient Primary and Secondary PM2.5 During a 2001 Summer Intensive Study at the NETL Pittsburgh Site Using PMF2 and EPA UNMIXVertically resolved chemical characteristics and sources of submicron aerosols measured on a Tall Tower in a suburban area near Denver, Colorado in winterIdentification of marine and continental aerosol sources in Paris using high resolution aerosol mass spectrometry
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Discarding or downweighting high-noise variables in factor analytic models
description
article
@en
im August 2003 veröffentlichter wissenschaftlicher Artikel
@de
wetenschappelijk artikel
@nl
наукова стаття, опублікована в серпні 2003
@uk
name
Discarding or downweighting high-noise variables in factor analytic models
@en
Discarding or downweighting high-noise variables in factor analytic models
@nl
type
label
Discarding or downweighting high-noise variables in factor analytic models
@en
Discarding or downweighting high-noise variables in factor analytic models
@nl
prefLabel
Discarding or downweighting high-noise variables in factor analytic models
@en
Discarding or downweighting high-noise variables in factor analytic models
@nl
P1476
Discarding or downweighting high-noise variables in factor analytic models
@en
P2093
Pentti Paatero
Philip K. Hopke
P304
P356
10.1016/S0003-2670(02)01643-4
P577
2003-08-01T00:00:00Z