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Abstract Details
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Activity Number:
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526
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Type:
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Contributed
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Date/Time:
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Wednesday, August 3, 2011 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistical Computing
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| Abstract - #303307 |
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Title:
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A Nonlinear Mixed Effects Model Approach to Monotonically Constraining the Parameter Curve in a Functional Nonlinear Model
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Author(s):
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Eduardo Montoya*+ and Wendy Meiring
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Companies:
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California State University at Bakersfield and University of California at Santa Barbara
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Address:
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, , ,
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Keywords:
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functional data ;
monotonicity ;
mixed models
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Abstract:
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A functional nonlinear model with a scalar response, functional explanatory variable, and monotone parameter curve, is introduced. Under certain assumptions, the functional nonlinear model can be written as a nonlinear mixed effects model. This allows the monotone parameter curve to be estimated within the mixed model framework, using restricted maximum likelihood for smoothing parameter selection.
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