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Activity Number:
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154
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Type:
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Contributed
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Date/Time:
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Monday, July 30, 2007 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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| Abstract - #310251 |
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Title:
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Comparing Exact and Asymptotic Confidence Intervals for a Function of Variance Components
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Author(s):
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Brent Burch*+
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Companies:
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Northern Arizona University
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Address:
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PO Box 5717, Flagstaff, AZ, 86011-5717,
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Keywords:
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Heritability ; Linear mixed models ; Pivotal quantity ; REML estimation
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Abstract:
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Heritability, the extent to which a physical characteristic is passed from one generation to the next, is often equated to a function of variance components in mixed linear models having two variances. Using normality assumptions, one can compute exact confidence intervals for heritability. These intervals differ from those based on the asymptotic distribution of the REML estimator. In this poster, exact and asymptotic intervals are constructed for models ranging from the one-way random effects model to animal breeding models having correlated observations.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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