This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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518
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Type:
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Contributed
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Date/Time:
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Wednesday, August 4, 2010 : 10:30 AM to 12:20 PM
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Sponsor:
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ENAR
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| Abstract - #307982 |
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Title:
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Empirical Imputation: A New Imputation Method Model
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Author(s):
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Yijie Xue*+ and Nicole Lazar
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Companies:
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The University of Georgia and The University of Georgia
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Address:
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, Athens, GA, 30602,
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Keywords:
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Multiple imputation ;
Empirical likelihood
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Abstract:
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Multiple imputation is a well-known method to implement the non- response in data, which uses `best- t' values to replace the missing values. However, the presumed distribution in the imputation may lead to biased results. An empirical likelihood based imputation pro- cedure is proposed and compared with existing imputation method, like Multiple Imputation. Simulations show comparable results for our imputation method.
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