Abstract #300981

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JSM 2002 Abstract #300981
Activity Number: 331
Type: Luncheons
Date/Time: Wednesday, August 14, 2002 : 12:30 PM to 1:50 PM
Sponsor: Section on Statistics & the Environment*
Abstract - #300981
Title: What Can Statisticians Do to Improve Large-scale Environmental Monitoring Programs?
Author(s): Don Stevens, Jr.*+
Affiliation(s): Oregon State University
Address: 44 Kidder Hall, Corvallis, Oregon, 97331, USA
Keywords:
Abstract:

Historically, many statewide or regional environmental monitoring programs have been based on convenience samples or ad hoc site-selection procedures. Although some states are beginning to use probability samples, there still seems to be considerable reluctance to using random sampling in monitoring programs. Also, analysis tends to be limited to data summarization and hypothesis testing. Much more powerful techniques and tools are available, both on the sampling design side and on the analysis/interpretation/modeling side. What can the statistics profession do to persuade, enable, and help the states to utilize these tools? The issue may soon come to a head, because the US Environmental Protection Agency recently issued guidance that encourages states to use probability-based sampling to complete reports required by the Clean Water Act.

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Revised March 2002