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Abstract Details
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Activity Number:
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188
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Type:
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Contributed
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Date/Time:
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Monday, July 30, 2012 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Physical and Engineering Sciences
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| Abstract - #306093 |
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Title:
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Generalized Inferences for the General Half-Normal Distribution
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Author(s):
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Sumith Gunasekera*+
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Companies:
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University of Tennessee-Chattanooga
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Address:
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Department of Mathematics, Chattanooga, TN, 37403, United States
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Keywords:
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Generalized p-value ;
Generalized tests ;
Half-normal distribution ;
Location parameter ;
Size of the test ;
Power of the test
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Abstract:
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This presentation considers the development of inferential techniques for the general half-normal distribution based on the generalized variable method. Using the Generalized Variable (GV) approach, we construct the generalized confidence interval for and construct the generalized p-value for testing the location parameter. Examples are given in order to illustrate our developed methodology. By analyzing the percentage body fat measurements made on 102 male elite athletes as well as the simulated data, advantages of the proposed generalized variable method over the large sample procedures are discussed.
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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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