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Abstract Details
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Activity Number:
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354
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Type:
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Contributed
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Date/Time:
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Tuesday, July 31, 2012 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistical Computing
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| Abstract - #306613 |
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Title:
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Using the Bootstrap for Estimating the Sample Size in Statistical Experiments
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Author(s):
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Maher Qumsiyeh*+
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Companies:
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University of Dayton
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Address:
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300 College Park, Dayton, OH, 45469-2316, United States
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Keywords:
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Bootstrap ;
Sample Size ;
Confidence Interval ;
Experimental Design
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Abstract:
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The Bootstrap method was proved to be an effective method for estimation and testing purposes in statistics. It provides better than normal approximation for studentized means, least square estimates and many other statistics of interest. It also, can be used to select the active factors (factors that have an effect on the response) in experimental design. In this paper, we will show that the bootstrap can be used to determine the number of runs that are required to achieve a certain confidence in statistical experiments and in experimental design problems.
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