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Abstract Details
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Activity Number:
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498
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 1, 2012 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Government Statistics
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| Abstract - #304143 |
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Title:
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Sample Size Determination and Hypothesis Testing for the Mean of a Lognormal Distribution
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Author(s):
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Kush Kapur*+
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Companies:
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Address:
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479 N Harlem, Oak Park, IL, 60301, United States
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Keywords:
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Lognormal ;
Edgeworth Expansion ;
Generalized p-value ;
Permutation Testing
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Abstract:
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Lognormal distributions have applications in health sciences, occupational exposures, environmental monitoring and several other fields. In this article we compare power functions of four testing procedures based on Student-t, Edgeworth expansion, generalized p-value and permutation test for testing the mean of a lognormal distribution. We recommend the generalized p-value and permutation test procedures for testing the mean of the distribution. Using these procedures we determine the required sample size for obtaining a pre-specified power. The results are illustrated with examples from Environmental Monitoring Field and Veteran Affairs Clinical Study Data.
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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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