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Abstract Details
Activity Number:
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619
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Type:
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Contributed
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Date/Time:
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Thursday, August 4, 2011 : 8:30 AM to 10:20 AM
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Sponsor:
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Biometrics Section
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Abstract - #302584 |
Title:
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Local Buckley-James Estimation for the Heteroscedastic AFT Model
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Author(s):
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Lei Pang*+ and Wenbin Lu and Huixia Judy Wang
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Companies:
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North Carolina State University and North Carolina State University and North Carolina State University
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Address:
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2806-22 Brigadoon Drive, Raleigh, NC, 27606,
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Keywords:
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Censored Regression ;
Buckley-James ;
Survivial Analysis ;
Local
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Abstract:
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Current available estimation methods for the Accelerated Failure Time (AFT) model require the random errors to be homoscedastic. A heteroscedastic AFT model is proposed to extend the traditional AFT model, making it possible to accommodate possible heteroscedastic random errors. The Local Buckley-James method is proposed for the estimation and inference about the heteroscedastic AFT model. Theoretical investigation and numerical studies are performed to establish the effectiveness of the proposed method.
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