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Activity Number:
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547
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Type:
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Contributed
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Date/Time:
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Thursday, August 2, 2007 : 10:30 AM to 12:20 PM
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Sponsor:
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Social Statistics Section
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| Abstract - #310301 |
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Title:
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Simulation Results of Bias Estimates for Compositional Data
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Author(s):
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Don R. Warren*+
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Companies:
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University of Texas at San Antonio
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Address:
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One UTSA Circle, San Antonio, TX, 78249-0704,
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Keywords:
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Compositional Estimation
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Abstract:
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Compositional data are a partitioning subset of positive numbers within an data set observation that, because they sum to one, create difficulties in their estimation and interpretation. A substantial number of statisticians (particularly in applied areas) continue to ignore or reject the advice of specialists (a) to exercise caution in the interpretation of estimates based on compositional data and (b) to use special, minimally-biased methods of estimation. This article reports the results of simulations that address key issues of those who are skeptical of the need for the use of specialized compositional estimates.
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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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