This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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183
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Type:
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Contributed
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Date/Time:
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Monday, August 2, 2010 : 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 - #307510 |
Title:
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Scaling Local Tree Mortality Models to a Regional Scale Using Combined Estimators and a Meta-Regression Approach
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Author(s):
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Suborna Ahmed* and Valerie LeMay+
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Companies:
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The University of British Columbia and The University of British Columbia
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Address:
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Dept. of Forest Resources Management, Vancouver, BC, V6T 1Z4, CANADA
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Keywords:
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generalized logistic model ;
meta-modeling ;
hierarchical related regression ;
scaling models ;
James-Stein estimators
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Abstract:
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Information needs at larger spatial scales often involve the use of regional scale models. One naïve approach is to fit a regional scale model using all available data. However, this does not make efficient use of existing local scale models. We examined a number of combined estimators (e.g, James-Stein) in a meta-modelling approach to scale models to a regional level. The application is tree-level mortality models for the Boreal Forest of Canada representing 10% of the World's forest resources. Since a generalized logistic model was used because of unequally-spaced repeated-measures data, modifications to combined estimators for linear models are proposed. Data from Alberta were used to create artificial populations to compare the accuracy of proposed meta-regression approaches to the naïve approach. Further work using hierarchical related regression is planned.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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