Summary
Air monitors begin showing an unhealthy level of arsenic in the atmosphere. Can regulators quickly discover which of several industries in the vicinity may be to blame?
Brigham Young University statistician William F. Christensen and three colleagues apparently have come up with a better way to track down such polluters. Their article, "Clustering composition vectors using uncertainty information," published this week in the journal Environmetrics (London), demonstrates a way to find the source of pollution. Their statistical method is credited with cutting misidentification by a third.See the full content of this document
Extract
Y. Team Homes in On Pollutants
The other authors are Ann M. Dillner of the University of California-Davis; James J. Schauer of the University of Wisconsin, Madison; and C. Shane Reese of ...
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