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Abstract Details
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Activity Number:
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363
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Type:
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Contributed
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Date/Time:
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Tuesday, August 2, 2011 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics and the Environment
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| Abstract - #301857 |
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Title:
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Statistical Modeling of Environmental Conditions in Paint Creek
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Author(s):
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Robert Kushler*+ and Scott Tiegs and Adam Avery
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Companies:
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Oakland University and Oakland University and Oakland University
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Address:
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24228 Edgemont Dr, Southfield, MI, 48033-6425,
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Keywords:
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stream ecology ;
graphics ;
nonlinear models
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Abstract:
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Environmental conditions in Paint Creek, a tributary of the Clinton River in southeast Michigan, have been monitored over the past two years. Large amounts of data on temperature, water depth, and other conditions were captured. Some non-standard statistical techniques that were used to analyze the data and assess the accuracy of a mathematical model for stream flow will be illustrated.
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