Abstract Details
Activity Number:
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233
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Type:
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Topic Contributed
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Date/Time:
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Monday, August 5, 2013 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics and the Environment
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Abstract - #308385 |
Title:
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Properties of Slope Estimators Associated with Random Slope Models
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Author(s):
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Brian Gray and Vyacheslav Lyubchich*+ and Yulia R. Gel
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Companies:
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U.S. Geological Survey and University of Waterloo, Canada and University of Waterloo
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Keywords:
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bias ;
multilevel models ;
random slope models ;
sample size ;
water temperature
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Abstract:
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Regression models where slopes vary randomly among groups have become popular in ecological and other settings. However, these models may yield biased variance estimators when within- and/or among-group sample sizes are small (as will often be the case with ecological and environmental datasets). We address this concern using river temperature and simulated data.
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Authors who are presenting talks have a * after their name.
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