Abstract Details
Activity Number:
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82
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Type:
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Contributed
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Date/Time:
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Sunday, August 4, 2013 : 4:00 PM to 5:50 PM
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Sponsor:
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Section on Statistical Computing
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Abstract - #310152 |
Title:
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Power Analysis of a Left-Truncated Normal Mixture Distribution with Applications in Red Blood Cell Velocities
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Author(s):
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Huichao Chen*+ and Xiangjin Xu
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Companies:
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Harvard School of Public Health and Binghamton University
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Keywords:
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mixture distribution ;
mixing proportion ;
LRT
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Abstract:
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In mice infected with malaria, the splenic red blood cell (RBC) velocity profile suggests a left-truncated normal mixture distribution with two components. Since regularity conditions do not hold for the likelihood ratio test (LRT) statistic to have its usual asymptotic null distribution of chi-squared, we study the sample size requirements of such mixture models by first conducting Monte Carlo simulations to estimate the percentiles of the LRT statistic. For mixing proportions ranging from 0 to 1, we then investigate how large the sample size would have to be to detect the second component with a reasonable power, given a setting reflected by the splenic RBC velocities.
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Authors who are presenting talks have a * after their name.
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