Abstract Details
Activity Number:
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347
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, August 11, 2015 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Nonparametric Statistics
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Abstract #316205
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View Presentation
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Title:
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Improving Estimation Efficiency by an Easy Empirical Likelihood Approach
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Author(s):
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Fei Tan* and Hanxiang Peng
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Companies:
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Indiana University Purdue University Indianapolis and Indiana University Purdue University Indianapolis
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Keywords:
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empirical likelihood ;
efficiency ;
U-statistics ;
generalized linear models ;
structural equation models
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Abstract:
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In this talk, we report some results about improving the efficiency of estimates in generated estimating equations using an easy empirical likelihood approach. We discuss computing complexity and mathematical tractability of the easy approach. We explain how to easily obtain the estimates using the existing software. We report some simulation results about computing time and efficiency improvement. Our simulation designs include generalized linear models, Cox models, structural equation models and U-statistics based on GEEs.
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Authors who are presenting talks have a * after their name.
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