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Identifying Extremely Large Observations

  • Ganapati P. PatilEmail author
  • Sharad D. Gore
  • Charles Taillie*
Chapter
  • 880 Downloads
Part of the Environmental and Ecological Statistics book series (ENES, volume 4)

Abstract

It is not necessary that all environmental problems of site characterization, cleanup evaluation, and compliance monitoring aim only at estimating the average value. Many of these problems also have an interest in extremely high contamination levels. A common experience is that compositing sample averages out the individual sample values and hence does not incur any loss of information on the population mean. However, compositing poses a serious problem if the interest is in extreme values. There is very limited literature on detection of large individual sample values. Casey et al (1985) give a method to predict the maximum sample value using composite sample measurements. Gore and Patil (1993) develop a statistical method to identify the largest individual sample value without exhaustively obtaining all individual sample values.

Keywords

Composite Sample Individual Sample Sample Maximum Component Sample Surface Soil Sample 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Bibliography

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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • Ganapati P. Patil
    • 1
    Email author
  • Sharad D. Gore
    • 2
  • Charles Taillie*
    • 3
  1. 1.Center for Statistical Ecology and Environmental StatisticsPennsylvania State UniversityUniversity ParkUSA
  2. 2.Department of StatisticsUniversity of PunePuneIndia
  3. 3.Center for Statistical Ecology and Environmental StatisticsPenn State UniversityUniversity ParkUSA

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